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abridged life table °£ÀÌ»ý¸íÇ¥
absolute deviation Àý´ëÆíÂ÷
absolute error Àý´ë¿ÀÂ÷
absolute frequency Àý´ëµµ¼ö[ºóµµ]
absolute moment Àý´ëÀû·ü
absolute rank Àý´ë¼øÀ§
absolutely continuous Àý´ë¿¬¼Ó(ÀÇ)
absolutely continuous distribution Àý´ë¿¬¼ÓºÐÆ÷
absolutely integrable Àý´ëÀûºÐ°¡´É(ÇÑ)
absorbing barrier Èí¼öº®, Èí¼öÀ庮
absorbing distribution Èí¼öºÐÆ÷
absorbing region Èí¼ö¿ª
absorbing state Èí¼ö»óÅÂ
accelerated life test °¡¼Ó(Àû)¼ö¸í½ÃÇè
accelerated stochastic approximation °¡¼Ó(Àû)È®·ü±Ù»ç
accelerating stress °¡¼Ó ½ºÆ®·¹½º
acceleration function °¡¼ÓÇÔ¼ö
accept äÅÃÇÏ´Ù, ¼ö¿ëÇÏ´Ù
acceptable boundary Çհݰæ°è, ¼ö¿ë°æ°è
acceptable quality level ÇÕ°ÝǰÁú¼öÁØ
acceptable reliability level Çհݽŷڵµ¼öÁØ
acceptance control chart Çհݰü¸®µµ
acceptance criterion ÇհݱâÁØ
acceptance error ÇÕ°Ý¿À·ù, äÅÿÀ·ù
acceptance inspection Çհݰ˻ç
acceptance line Çհݼ±
acceptance number Çհݼö, ÇÕ°ÝÆÇÁ¤°³¼ö
acceptance region äÅÿª, ¼ö¿ë¿ª
acceptance sampling by attributes °è¼öÇü ÇÕ°Ý »ùÇøµ
acceptance sampling by variables °è·®Çü ÇÕ°Ý »ùÇøµ
acceptance sampling ÇÕ°Ý »ùÇøµ, ÇÕ°ÝÆÇÁ¤ »ùÇøµ
accessible µµ´Þ°¡´É(ÇÑ)
accessible state µµ´Þ°¡´É»óÅÂ
accumulated process ´©Àû°úÁ¤, ÁýÀû°úÁ¤
accumulated sum ´©°è, ´©ÀûÇÕ, ½×ÀÎ ÇÕ
accumulation analysis ´©ÀûºÐÆ÷
accuracy Á¤È®µµ
action space Çൿ°ø°£, ÇàÀ§°ø°£
actuarial mathematics º¸Çè¼öÇÐ
actuarial statistics º¸ÇèÅë°è(ÇÐ)
adaptive ÀûÀÀÀû
adaptive estimator ÀûÀÀÃßÁ¤·®, ¼øÀÀÃßÁ¤·®
adaptive inference ÀûÀÀÃß·Ð, ¼øÀÀÃß·Ð
adaptive method ÀûÀÀ¹ý, ¼øÀÀ¹ý
adaptive optimization ÀûÀÀÃÖÀûÈ­, ¼øÀÀÃÖÀûÈ­
adaptive test ÀûÀÀ°ËÁ¤[°ËÁõ]
added variable plot Ãß°¡º¯¼ö±×¸², Ãß°¡º¯¼öµµ
addition law of probability È®·üÀÇ µ¡¼À¹ýÄ¢
addition theorem µ¡¼ÀÁ¤¸®, °¡¹ýÁ¤¸®
additional sample Ãß°¡Ç¥º»
additive °¡¹ý(Àû), ´õÇϱâ
additive effect °¡¹ýÈ¿°ú, ´õÇϱâ È¿°ú
additive model °¡¹ý¸ðÇü, ´õÇϱ⠸ðÇü
additive process °¡¹ý°úÁ¤
additive property °¡¹ý¼ºÁú
additive risk model °¡¹ýÀ§Çè¸ðÇü
additivity °¡¹ý¼º
adjacent category ÀÌ¿ô¹üÁÖ
adjacent matrix ÀÌ¿ôÇà·Ä
adjacent value ÀÎÁ¢°ª
adjoint matrix ¼ö¹ÝÇà·Ä, µþ¸²Çà·Ä
adjusted coefficient of determination ¼öÁ¤°áÁ¤°è¼ö
adjustment factor ¼öÁ¤[º¸Á¤]ÀÎÀÚ
admissibility Çã¿ë°¡´É¼º, Çã¿ë¼º
admissible Çã¿ë°¡´É, Çã¿ë
admissible estimator Çã¿ë°¡´ÉÃßÁ¤·®, Çã¿ëÃßÁ¤·®
admissible number Çã¿ë°¡´É¼ö, Çã¿ë¼ö
admissible strategy Çã¿ë°¡´ÉÀü·«, Çã¿ëÀü·«
admissible test Çã¿ë°¡´É°ËÁ¤[°ËÁõ], Çã¿ë°ËÁ¤[°ËÁõ]
affinity À¯»ç¼º
affinity-alpha resolvability À¯»ç¾ËÆÄ ºÐÇØ¼º
affinity transformation À¯»ç¼ºº¯È¯
age composition ³ªÀ̱¸¼º, ¿¬·É±¸¼º
age dependent ³ªÀÌÀÇÁ¸, ¿¬·ÉÀÇÁ¸
age-specific death rate ³ªÀ̺° »ç¸Á·ü , ¿¬·Éº° »ç¸Á·ü
agglomerative algorithm ÀÀÁý¾Ë°í¸®Áò
aggregate ÃÑ
aggregation ÃѰè
aggregation bias ÃѰèÆíÇâ
aggregative index ÃѰèÁö¼ö
aggregative method ÃѰè¹ý
agricultural census ³ó¾÷ÃÑÁ¶»ç, ³ó¾÷¼¾¼­½º
agricultural trial ³ó¾÷½ÃÇè
Aitken's estimator ¿¡ÀÌÆ®ÄËÀÇ ÃßÁ¤·®
Akaike's information criterion ¾ÆÄ²ÄÉÀÇ Á¤º¸(·®)±âÁØ
algebra ´ë¼ö(ÇÐ)
algorithm ¾Ë°í¸®Áò, °è»êÀýÂ÷
alias º°¸í
allocation ¹èºÐ, ÇÒ´ç
allometry ÀÌÁúµ¿Çü
allowable defects Çã¿ë°áÁ¡¼ö
all possible regression ¸ðµç °¡´ÉÇÑ È¸±Í, ÃѰ¡´Éȸ±Í
almost all °ÅÀÇ ¸ðµç
almost certain °ÅÀÇ È®½ÇÇÑ
almost certainly °ÅÀÇ È®½ÇÇϰÔ
almost everywhere °ÅÀÇ ¸ðµç °÷¿¡¼­
almost stationary °ÅÀÇ Á¤»óÀûÀÎ
almost sure °ÅÀÇ È®½ÇÇÑ
almost sure convergence °ÅÀÇ È®½ÇÇÑ ¼ö·Å
almost surely °ÅÀÇ È®½ÇÇϰÔ
almost surely stable °ÅÀÇ È®½ÇÇÏ°Ô ¾ÈÁ¤µÈ
alpha-resolvability ¾ËÆÄ ºÐÇØ¼º
alternating least squares ±³´ëÃÖ¼ÒÁ¦°ö
alternating matrix ±³´ëÇà·Ä
alternating renewal process ±³´ë°»½Å°úÁ¤
alternating series ±³´ë±Þ¼ö
alternative form method µ¿Çü¹æ¹ý
alternative hypothesis ´ë¸³°¡¼³, ´ë¾È°¡¼³
amalgamated sum À¶ÇÕÇÕ
amount of information Á¤º¸·®
amount of inspection °Ë»ç·®
amplitude ÁøÆø
amplitude ratio ÁøÆøºñ
analogue computer ¾Æ³¯·Î±× ÄÄÇ»ÅÍ
analysis ºÐ¼®, ÇØ¼®, ÇØ¼®ÇÐ
analysis of covariance °øºÐ»êºÐ¼®
analysis of deviance ÀÌÅ»µµ[ÆíÂ÷]ºÐ¼®
analysis of dispersion »êÆ÷ºÐ¼®, ÆÛÁüºÐ¼®
analysis of variance [ANOVA] ºÐ»êºÐ¼®
analysis of variance [ANOVA] table ºÐ»êºÐ¼®Ç¥
analysis survey ºÐ¼®Á¶»ç
analytic function ÇØ¼®(Àû)ÇÔ¼ö
analytic trend ÇØ¼®Àû Ãß¼¼
ancillary information º¸Á¶Á¤º¸
ancillary statistic º¸Á¶Åë°è·®
Anderson-Darling statistic ¾Ø´õ½¼-´Þ¸µ Åë°è·®
Andrews plot ¾Øµå·ù½º ±×¸²
angle of reflection ¹Ý»ç°¢
angular transformation °¢º¯È¯
angular variation °¢º¯µ¿
annealing ´ã±ÝÁú
annihilator space ¼Ò¸êÀÚ °ø°£
annual rate of growth ¿¬°£¼ºÀå·ü
Anosov's theorem ¾Æ³ë¼ÒÇÁÀÇ Á¤¸®
Ansary-Bradley statistic ¾È»ç¸®-ºê·¡µé¸® Åë°è·®
antimode ¹ÝÃÖºó°ª
antirank ¹Ý¼øÀ§
antisymmetric ¹Ý´ëĪ(Àû)
antithetic variate ´ëÁ¶º¯·®
antitonic function ¼ø¼­¿ªÀüÇÔ¼ö
aperiodic ºñÁÖ±âÀû
aperiodic state ºñÁÖ±âÀû»óÅÂ
apparent failure rate °Ñº¸±â °íÀå·ü, ¿Ü°ß°íÀå·ü
apparent rate °Ñº¸±â ºñÀ²
applied mathematics ÀÀ¿ë¼öÇÐ
applied statistics ÀÀ¿ëÅë°èÇÐ
approximate distribution ±Ù»çºÐÆ÷
approximate integration ±Ù»çÀûºÐ
approximate solution ±Ù»çÇØ
approximate value ±Ù»ç°ª
approximation ±Ù»ç, ¾î¸²¼À
approximation error ±Ù»ç¿ÀÂ÷
approximation method ±Ù»ç¹æ¹ý
approximation theorem ±Ù»çÁ¤¸®
arbitrary ÀÓÀÇÀÇ
arccosine ¾ÆÅ©ÄÚ»çÀÎ, ¿ªÄÚ»çÀÎ
arcsecant ¾ÆÅ©½ÃÄÁÆ®, ¿ª½ÃÄÁÆ®
arcsine ¾ÆÅ©»çÀÎ, ¿ª»çÀÎ
arcsine distribution ¾ÆÅ©»çÀÎºÐÆ÷, ¿ª»çÀÎºÐÆ÷
arctangent ¾ÆÅ©ÅºÁ¨Æ®, ¿ªÅºÁ¨Æ®
area ³ÐÀÌ, ¸éÀû
area comparability factor Áö¿ªºñ±³ÀÎÀÚ
area sampling Áö¿ªÇ¥Áý, Áö¿ªÃßÃâ¹ý
area statistics Áö¿ªÅë°è
area under the curve °î¼±¾Æ·¡¸éÀû, °î¼±¹Ø¸éÀû
argument º¯¼ö, Æí°¢
arithmetic »ê¼ú, ¼À¹ý, »ê¼ö
arithmetic average »ê¼úÆò±Õ
arithmetic distribution »ê¼úºÐÆ÷
arithmetic mean »ê¼úÆò±Õ
arithmetic sequence µîÂ÷¼ö¿­
arithmetic series µîÂ÷±Þ¼ö
Armitage's restricted procedure ¾Æ¹ÌŸÁöÀÇ Á¦ÇÑÀýÂ÷
array ¹è¿­
arrival distribution µµÂøºÐÆ÷
arrow diagram È­»ì±×¸², È­»ìµµ
artificial intelligence ÀΰøÁö´É
ascertainment error È®ÀοÀÂ÷
assay ½ÃÇè, »ý°Ë
assembly language ¾î¼Àºí¸®¾î(åÞ)
assignable cause ÀÌ»ó¿øÀÎ
assignable variation À̻󺯵¿
associable design µ¿¹Ý¼³°è
associate class µ¿¹ÝÃþ, µ¿¹Ý·ù
association ¿¬°ü¼º
association analysis ¿¬°ü¼ººÐ¼®
association scheme µ¿¹Ý°èȹ
associative law °áÇÕ¹ýÄ¢, ¹­À½¹ýÄ¢
assortative mating µ¿·ù±³¹è
assumption °¡Á¤
asymmetric distribution ºñ´ëĪºÐÆ÷
asymmetric relation ºñ´ëΰü°è
asymmetrical test ºñ´ëΰËÁ¤[°ËÁõ]
asymmetry ºñ´ëμº
asymptote Á¡±Ù¼±
asymptotic Á¡±ÙÀû(ÀÎ)
asymptotic Bayes procedure Á¡±ÙÀû º£ÀÌÁî ÀýÂ÷
asymptotic bias Á¡±ÙÆíÇâ
asymptotic distribution Á¡±ÙºÐÆ÷
asymptotic efficiency Á¡±ÙÈ¿À²
asymptotic expansion Á¡±ÙÀû Àü°³
asymptotic normality Á¡±ÙÀû Á¤±Ô¼º
asymptotic property Á¡±ÙÀû ¼ºÁú
asymptotic relative efficiency Á¡±ÙÀû »ó´ëÈ¿À²
asymptotic series Á¡±Ù±Þ¼ö
asymptotic standard error Á¡±Ù(Àû)Ç¥ÁØ¿ÀÂ÷
asymptotic variance Á¡±ÙºÐ»ê
asymptotically efficient estimator Á¡±ÙÀû À¯È¿ÃßÁ¤·®
asymptotically locally optimal design Á¡±ÙÀû ±¹¼ÒÃÖÀû¼³°è
asymptotically most powerful Á¡±ÙÀû ÃÖ°­·Â
asymptoticaly stationary Á¡±ÙÀû Á¤»ó
asymptoticaly unbiased Á¡±ÙÀû ºñÆíÇâ
atom of probability measure È®·üÃøµµÀÇ ¿øÀÚ
at random ÀÓÀÇ·Î, ·£´ýÇϰÔ, È®·üÀûÀ¸·Î
attack rate ¹ßº´·ü
attributable risk ±Í¼ÓÀ§Çè
attribute ¼Ó¼º
augmentation È®´ë, µ¡ºÙÀÓ
augmented factorial experiment È®´ë¿äÀνÇÇè, µ¡ºÙÀÎ ¿äÀνÇÇè
augmented matrix È®´ëÇà·Ä, µ¡ºÙÀÓ(µ¡ºÙÀÎ)Çà·Ä
augmented posterior È®´ë»çÈÄºÐÆ÷
autocorrelation ÀÚ±â»ó°ü
autocorrelation coefficient ÀÚ±â»ó°ü°è¼ö
autocorrelation function ÀÚ±â»ó°üÇÔ¼ö
autocovariance ÀÚ±â°øºÐ»ê
autocovariance function ÀÚ±â°øºÐ»êÇÔ¼ö
autocovariance generating function ÀÚ±â°øºÐ»ê»ý¼ºÇÔ¼ö
automatic classification ÀÚµ¿ºÐ·ù
automatic process control ÀÚµ¿°øÁ¤°ü¸®
autoregression ÀÚ±âȸ±Í
autoregressive integrated moving-average [ARIMA] ÀÚ±Íȸ±Í´©ÀûÀ̵¿Æò±Õ  
autoregressive moving-average [ARMA] ÀÚ±âȸ±ÍÀ̵¿Æò±Õ
autoregressive process ÀÚ±âȸ±Í°úÁ¤
autoregressive transformation ÀÚ±Íȸ±Íº¯È¯
autospectrum Àڱ⠽ºÆåÆ®·³
availability °¡¿ëµµ
average Æò±Õ
average amount of inspection Æò±Õ°Ë»ç·®
average deviation Æò±ÕÆíÂ÷
average error Æò±Õ¿ÀÂ÷
average extra defectives limit Æò±Õ¿©ºÐºÒ·®¼öÇѰè
average fraction inspection [AFI] Æò±Õ°Ë»çºñÀ²
average linkage Æò±Õ¿¬°á(¹ý)
average method Æò±Õ¹ý
average number of defects Æò±Õ°áÁ¡¼ö
average outgoing quality Æò±ÕÃâ°ËǰÁú
average outgoing quality level Æò±ÕÃâ°ËǰÁú¼öÁØ
average outgoing quality limit Æò±ÕÃâ°ËǰÁúÇѰè
average quality Æò±ÕǰÁú
average quality protection Æò±ÕǰÁúº¸È£
average run length Æò±Õ ·± ±æÀÌ
average sample Æò±ÕÇ¥º»
average sample number Æò±ÕÇ¥º»¼ö
average sample number curve Æò±ÕÇ¥º»¼ö°î¼±
average sample number function Æò±ÕÇ¥º»¼öÇÔ¼ö
average total inspection Æò±ÕÃѰ˻緮
average value Æò±Õ°ª
axial point ÃàÁ¡
axiom °ø¸®
axiom of choice ¼±ÅÃÀÇ °ø¸®
axiom of probability È®·üÀÇ °ø¸®
axiomatic method °ø¸®Àû ¹æ¹ý
axis Ãà
axis of abscissas °¡·ÎÃà, ȾÃà
axis of coordinates ÁÂÇ¥Ãà
axis of ordinates ¼¼·ÎÃà, Á¾Ãà
axis of rotation ȸÀüÃà
axis of symmetry ´ëĪÃà

back forecasting ÈÄ¹æ¿¹Ãø
back substitution ÈĹæ´ëÀÔ
background factor ¹è°æ¿äÀÎ, ¹è°æÀÎÀÚ
backward difference ÈÄÁøÂ÷ºÐ
backward diffusion equation ÈÄÁøÈ®»ê¹æÁ¤½Ä
backward elimination ÈÄÁøÁ¦°Å, º¯¼öÁ¦°Å
backward elimination method ÈÄÁøÁ¦°Å¹ý, º¯¼öÁ¦°Å¹ý
backward equation ÈÄÁø¹æÁ¤½Ä
backward induction ÈÄÁø±Í³³¹ý
backward martingale ÈÄÁø ¸¶ÆÃ°ÔÀÏ
backward operator ÈÄÁø¿¬»êÀÚ
Bahadur efficiency ¹ÙÇϵθ£ È¿À²
Bahadur relative efficiency ¹ÙÇÏµÎ·ç »ó´ëÈ¿À²
balance ±ÕÇü
balanced array ±ÕÇü¹è¿­
balanced confounding ±ÕÇüÁßø, ±ÕÇüÈ¥¼±
balanced data ±ÕÇüÀÚ·á
balanced factorial design ±ÕÇü¿äÀμ³°è
balanced incomplete block design [BIBD] ±ÕÇüºÒ¿Ïºñºí·Ï¼³°è
balanced sample ±ÕÇüÇ¥º»
ballot ÅõÇ¥
ballot theory ÅõÇ¥ÀÌ·Ð
Banach space ¹Ù³ªÈå °ø°£
band ¶ì, ´ë¿ª
band chart ¶ì±×¸²Ç¥, ¶ìµµÇ¥
band graph ¶ì±×·¡ÇÁ
bandwidth ¶ì³Êºñ, ¶ìÆø, ´ë¿ªÆø
bar chart ¸·´ë±×¸²Ç¥, ¸·´ëµµÇ¥
Bartholomew's problem ¹Ù¼Ö·Î¹ÂÀÇ ¹®Á¦
Bartlett correction ¹ÙƲ·¿ ¼öÁ¤
Bartlett estimator ¹ÙƲ·¿ ÃßÁ¤·®
base ±âÀú, ±âÁØ, ¹Øº¯, ¹Ø, ¹ÙÅÁ, ¹Ø¸é
base curve ±âÀú°î¼±, ¹Ø°î¼®
base line ±âÁؼ±, ¹Ø¼±, ¹Ø±Ý
base year ±âÁسâ(µµ)
basic form ±âº»²Ã, ±âº»Çü
basis ±âÀú, ¹Ø , ¹ÙÅÁ
Basu's theorem ¹Ù¼öÀÇ Á¤¸®
batch ¹îÄ¡, Áý´Ü, ¹­À½
Bates-Neyman model º£ÀÌÃ÷-³×À̸¸ ¸ðÇü
bath tub curve ¿åÁ¶(Çü)°î¼±
Bayes estimate º£ÀÌÁî ÃßÁ¤°ª
Bayes formula º£ÀÌÁî °ø½Ä
Bayes procedure º£ÀÌÁî ÀýÂ÷
Bayes rule º£ÀÌÁî ±ÔÄ¢
Bayes theorem º£ÀÌÁî Á¤¸®
Bayesian inference º£ÀÌÁî(Àû)Ãß·Ï
Bayesian information criterion º£ÀÌÁî Á¤º¸±âÁØ
Bayesian interval º£ÀÌÁî ±¸°£
Bayesian method º£ÀÌÁî ¹æ¹ý
bead experiment ±¸½½½ÇÇè
Behrens-Fisher test º£·»½º-ÇǼаËÁ¤[°ËÁõ]
Bellman-Harris process º§¸¸-ÇØ¸®½º °úÁ¤
bell-shaped curve Á¾Çü°î¼±
bell-shaped distribution Á¾ÇüºÐÆ÷
Beran's test º£¶õÀÇ °ËÁ¤[°ËÁõ]
Berge's inequality ¹öÁöÀÇ ºÎµî½Ä
Berkson model ¹öÅ©½¼ ¸ðÇü
Bernoulli distribution º£¸£´©ÀÌ ºÐÆ÷
Bernoulli number º£¸£´©ÀÌ ¼ö
Bernoulli polynomial º£¸£´©ÀÌ ´ÙÇ×½Ä
Bernoulli trial º£¸£´©ÀÌ ½ÃÇà
Bernoulli variation º£¸£´©ÀÌ º¯µ¿
Bernoulli's inequality º£¸£´©ÀÌÀÇ ºÎµî½Ä
Bernstein's inequality ¹ø½ºÅ¸ÀÎÀÇ ºÎµî½Ä
Bernstein's theorem ¹ø½ºÅ¸ÀÎÀÇ Á¤¸®
Bessel equation º£¼¿ ¹æÁ¤½Ä
Bessel function º£¼¿ ÇÔ¼ö
Bessel interpolation º£¼¿ º¸°£¹ý
best asymptotic normal [BAN] ÃÖ·®Á¡±ÙÁ¤±Ô
best critical region ÃÖ·®ÀӰ迪, ÃÖ·®±â°¢¿ª
best fit ÃÖ·®ÀûÇÕ
best invariant decision function ÃÖ·®ºÒº¯°áÁ¤ÇÔ¼ö
best linear estimator ÃÖ·®¼±ÇüÃßÁ¤·®
best linear index ÃÖ·®¼±ÇüÁö¼ö
best linear unbiased estimator ÃÖ·®¼±ÇüºñÆíÇâÃßÁ¤·®
best subset regression ÃÖ·®ºÎºÐÁýÇÕȸ±Í
best test ÃÖ·®°ËÁ¤[°ËÁõ]
best unbiased critical region ÃÖ·®ºñÆíÇâÀÓ°è[±â°¢]¿ª
beta-binomial distribution º£Å¸-ÀÌÇ× ºÐÆ÷
beta distribution º£Å¸ ºÐÆ÷
beta-Stacy distribution º£Å¸-½ºÅ×À̽à ºÐÆ÷
beta-Whittle distribution º£Å¸-À§Æ²ºÐÆ÷
between class °è±Þ°£
between class variation °è±Þ°£ º¯µ¿
between cluster variance ±ºÁý°£ ºÐ»ê, Áý¶ô°£ ºÐ»ê
between group ±×·ì°£
between groups variance ±×·ì°£ ºÐ»ê
Bhattacharyya bound ¹ÙŸÂ÷¸®¾ß ÇѰè
Bhattacharyya's distance ¹ÙŸÂ÷¸®¾ßÀÇ °Å¸®
bias ÆíÇâ, Ä¡¿ìħ, ÆíÀÇ(ø¶ëï)
bias parameter ÆíÇâ¸ð¼ö
bias reduction ÆíÇâÃà¼Ò, Ä¡¿ìħ ÁÙÀ̱â
biased ÆíÇâ(µÈ), Ä¡¿ìÄ£
biased coin ÆíÇ⵿Àü
biased estimation ÆíÇâÃßÁ¤
biased regression ÆíÇâȸ±Í
biased sample ÆíÇâÇ¥º»
biased test ÆíÇâ°ËÁ¤[°ËÁõ]
Bickel-Hodges estimator ºòÄÌ-ÇÖÁö½º ÃßÁ¤·®
bicubic spline ½Ö»ïÂ÷ ½ºÇÁ¶óÀÎ, °ã»ïÂ÷ ½ºÇöóÀÎ
Bienayme-Tchebychev inequality ºñ¿¡³ª¸Þ-üºñ¼ÎÇÁ ºÎµî½Ä
bifactor model ÀÌÀÎÀÚ¸ðÇü
bijection Àü´Ü»çÇÔ¼ö, Àü´Ü»ç
bijective Àü´Ü»çÀÇ, Àü´Ü»ç
bijective function Àü´Ü»çÇÔ¼ö, ÀÏ´ëÀÏ ´ëÀÀÇÔ¼ö
bijective mapping Àü´Ü»ç»ç»ó, ÀÏ´ëÀÏ ´ëÀÀ»ç»ó
bilinear form °ã¼±ÇüÇü½Ä
bilinear function °ã¼±ÇüÇÔ¼ö
bilinear model °ã¼±Çü¸ðÇü
bilinear transformation °ã¼±Çüº¯È¯
bimodal distribution À̺ÀºÐÆ÷
binary comparisons ÀÌÁøºñ±³
binary data ÀÌÁø¼öÀÚ·á
binary expansion ÀÌÁøÀü°³
binary number ÀÌÁø¼ö
binary number system ÀÌÁø¼öü°è
binary operation ÀÌÇ׿¬»ê
binary relation ÀÌÇ×°ü°è
binary response ÀÌÇ×¹ÝÀÀ
binary search À̺ÐŽ»ö
binary sequence ÀÌÁø¼ö¿­
binary system ÀÌÁø¹ý
Bingham's distribution ºùÇÜÀÇ ºÐÆ÷
binomial ÀÌÇ×(ÀÇ)
binomial coefficient ÀÌÇ×°è¼ö
binomial distribution ÀÌÇ×ºÐÆ÷
binomial equation ÀÌÇ×¹æÁ¤½Ä
binomial expansion ÀÌÇ×Àü°³
binomial formula ÀÌÇ×°ø½Ä
binomial index of dispersion ÀÌÇ×»êÆ÷Áö¼ö
binomial probability paper ÀÌÇ×È®·üÁö
binomial proportion ÀÌÇ׺ñÀ²
binomial random variable ÀÌÇ×È®·üº¯¼ö
binomial series ÀÌÇ×±Þ¼ö
binomial test ÀÌÇ×°ËÁ¤[°ËÁõ]
binomial theorem ÀÌÇ×Á¤¸®
binomial variation ÀÌÇ׺¯µµ
bioassay »ý½ÃÇè
bioavailability »ý°¡¿ëµµ, »ý¹°Àû °¡¿ëµµ
bioequivalence »ýµ¿µî¼º
biological assay »ý¹°ÇÐÀû ½ÃÇè
biological indicator »ý¹°ÇÐÀû ÁöÇ¥
biometrics °è·®»ý¹°ÇÐ
biometry »ý¹°ÃøÁ¤
biostatistics »ý¹°Åë°èÇÐ
biplot Çà·Äµµ, ½Öµµ
bipolar factor ¾ç±ØÀÎÀÚ, ½Ö±ØÀÎÀÚ
Birnbaum's inequality ¹ø¹Ù¿òÀÇ ºÎµî½Ä
Birnbaum-Saunders distribution ¹ø¹Ù¿ò-¼Õ´õ½º ºÐÆ÷
Birnbaum-Tingey distribution ¹ø¹Ù¿ò-ƾÁö ºÐÆ÷
birth-and-death process Ãâ»ý-»ç¸Á °úÁ¤, »ý¼º-¼Ò¸ê °úÁ¤
birth-death ratio Ãâ»ý(´ë)»ç¸Á ºñ
birth process Ãâ»ý°úÁ¤
birth rate Ãâ»ý·ü
birthday problem »ýÀϹ®Á¦
birthplace population Ãâ»ýÁöÀα¸
bisection method À̺йý
biserial correlation ÀÌ¿¬»ó°ü
biserial correlation coefficient ÀÌ¿¬»ó°ü°è¼ö
bispectrum À̺¯·® ½ºÆåÆ®·³, ½Ö ½ºÆåÆ®·³
Bissinger distribution ºñ½Ì°Å ºÐÆ÷
bit ºñÆ®
bivariate ÀÌ[2]º¯·®
Blackwell's theorem ºí·¢À£ÀÇ Á¤¸®
blind trial ´«°¡¸²½ÃÇà
block ºí·Ï
block effect ºí·Ï È¿°ú
block product ºí·Ï °ö
Bochner's theorem º¸Å©³ÊÀÇ Á¤¸®
body graph ½Åü ±×·¡ÇÁ
Bonferroni inequality º»Æä·Î´Ï ºÎµî½Ä
Boole's inequality ºÎ¿ïÀÇ ºÎµî½Ä
Boole-Bonferroni-Frechet inequality ºÎ¿ï-º»Æä·Î´Ï-ÇÁ·¹¼Î ºÎµî½Ä  
boolean algebra ºÎ¿ï ´ë¼ö
Boolean model ºÎ¿ï ¸ðÇü
Boolean ring ºÎ¿ï ȯ
bootstrap º×½ºÆ®·¦, ÀÚÀ°(í»ëÀ)
Borel-Cantelli lemma º¸·¼-Ä­ÅÚ¸® º¸Á¶Á¤¸®
Borel field º¸·¼ ÁýÇÕü, º¸·¼ ü
Borel measurability º¸·¼ °¡Ãø¼º
Borel measurable function º¸·¼ °¡ÃøÇÔ¼ö
Borel measure º¸·¼ Ãøµµ
Borel set º¸·¼ ÁýÇÕ
Borel-Tanner distribution º¸·¼-ÅÂ³Ê ºÐÆ÷
Borges' approximation º¸¸£±×ÁîÀÇ ±Ù»ç
Bose-Einstein statistic º¸Áî-¾ÆÀν´Å¸ÀÎ Åë°è·®
boundary °æ°è
boundary condition °æ°èÁ¶°Ç
boundary value °æ°è°ª
boundary value problem °æ°è°ª¹®Á¦
bounded À¯°è
bounded above À§·Î À¯°è
bounded below ¾Æ·¡·Î À¯°è
bounded completeness À¯°è¿Ïºñ¼º
bounded convergence À¯°è¼ö·Å
bounded convergence theorem À¯°è¼ö·ÅÁ¤¸®
bounded function À¯°èÇÔ¼ö
bounded linear functional À¯°è¼±Çü¹üÇÔ¼ö
bounded set À¯°èÁýÇÕ
bounded variation À¯°èº¯µ¿
box-and-whisker plot »óÀÚ¼ö¿°µµ, »óÀڱ׸²
Box-Cox transform ¹Ú½º-Ĭ½º º¯È¯
Box-Jenkins model ¹Ú½º-Á¨Å²½º ¸ðÇü
Box-Muller transformation ¹Ú½º-¹Ä·¯ º¯È¯
box plot »óÀڱ׸²
bracket Å« ¹­À½Ç¥, ´ë°ýÈ£
Bradley-Terry model ºê·¡µé¸®-Å׸® ¸ðÇü
branch ºÐÁö, °¡Áö
branching process ºÐÁö°úÁ¤, ºÐ±â°úÁ¤
break point ´Ü¶ôÁ¡
breakdown bound ºØ±«ÇѰè, ºØ±«°æ°è
breakdown point ºØ±«Á¡
breeding À°Á¾
Brendt-Snedecor method ºê·»Æ®-½º³×µ¥Ä« ¹æ¹ý
Brown-Mood procedure ºê¶ó¿î-¹«µå ÀýÂ÷
Brownian bridge ºê¶ó¿î ´Ù¸®
Brownian motion ºê¶ó¿î ¿îµµ
brownian motion with drift Ç¥·ù(ÇÏ´Â)ºê¶ó¿î ¿îµ¿
Brunk's test ÇÁ··Å©ÀÇ °ËÁ¤[°ËÁõ]
bubble sort °Åǰ¼ø¼­È­
Buffon's needle problem ºßÆþÀÇ ¹Ù´Ã¹®Á¦
bulk sampling µ¢¾î¸® Ç¥Áý
Burke's theorem ¹öÅ©ÀÇ Á¤¸®
Burkholder approximation ¹öũȦ´õ ±Ù»ç
Burt matrix ¹öÅ© Çà·Ä
business census »ç¾÷üÃÑÁ¶»ç
business composite index °æ±âÁ¾ÇÕÁö¼ö
business diffusion index °æ±âÈ®»êÁö¼ö, °æ±âµ¿ÇâÁö¼ö
business index °æ±âÁö¼ö
business survey index ±â¾÷½Ç»çÁö¼ö

calculation °è»ê, ¼À
calibration º¸Á¤, ´«±ÝÁ¶Á¤
call-back ÀçÁ¶»ç
canonical Á¤ÁØ(Àû), Ç¥ÁØ(Àû)
canonical basis Á¤ÁرâÀú, Ç¥ÁرâÀú
canonical correlation Á¤ÁØ»ó°ü, Ç¥ÁØ»ó°ü
canonical correlation analysis Á¤ÁØ»ó°üºÐ¼®, Ç¥ÁØ»ó°üºÐ¼®
canonical correlation coefficient Á¤ÁØ»ó°ü°è¼ö, Ç¥ÁØ»ó°ü°è¼ö
canonical discriminant analysis Á¤ÁØÆÇº°ºÐ¼®, Ç¥ÁØÆÇº°ºÐ¼®
canonical form Á¤ÁØÇü, Ç¥ÁØÇü, Ç¥ÁزÃ
canonical ling Á¤ÁØ¿¬°á(ÇÔ¼ö), Ç¥ÁØ¿¬°á
canonical score Á¤ÁØÁ¡¼ö, Ç¥ÁØÁ¡¼ö
canonical structure Á¤Áر¸Á¶, Ç¥Áر¸Á¶
canonical variate Á¤Áغ¯·®, Ç¥Áغ¯·®
Cantelli's inequality Ä­ÅÚ¸®ÀÇ ºÎµî½Ä
Cantor-type distribution Ä­Å丣Çü ºÐÆ÷
capture-recapture sampling Æ÷ȹ-ÀçÆ÷ȹ Ç¥Áý
cardinal number ±â¼ö, ÁýÇÕÀÇ Å©±â
carrier epidemic model ¸Å°³Ã¼Àü¿°¸ðÇü
carrier variable ¿î¹Ýº¯¼ö
carry-over effect ÀÌ¿ùÈ¿°ú
Cartesian product µ¥Ä«¸£Æ® °ö
case-control study »ç·Ê-´ëÁ¶ ¿¬±¸
case history study »ç·Ê»ç¿¬±¸
Castle's law ij½½ÀÇ ¹ýÄ¢
categorical data ¹üÁÖÇüÀÚ·á
categorical distribution ¹üÁÖÇüºÐÆ÷
categorical variable ¹üÁÖÇü º¯¼ö
categorization ¹üÁÖÈ­
category ¹øÁÖ
category attribute ¹üÁÖ¼Ó¼º
Cauchy distribution ÄÚ½¬ ºÐÆ÷
Cauchy-Schwarz inequality ÄÚ½¬-½´¹Ù¸£Ã÷ ºÎµî½Ä
cause ¿øÀÎ
cause-and-effect diagram Àΰúµµ, Ư¼º¿äÀεµ
cause of death »çÀÎ, »ç¸Á¿øÀÎ
cell Ä­
cell frequency Ä­µµ¼ö[ºóµµ]
censored data ÁßµµÀý´ÜÀÚ·á, ÁßÀýÀÚ·á
censored regression ÁßµµÀý´Üȸ±Í, ÁßÀýȸ±Í
censored sample ÁßµµÀý´ÜÇ¥º», ÁßÀýÇ¥º»
censoring ÁßµµÀý´Ü, ÁßÀý
census ÃÑÁ¶»ç, ¼¾¼­½º, Àü¼öÁ¶»ç
census of housing ÁÖÅÃÃÑÁ¶»ç
census of population Àα¸ÃÑÁ¶»ç
census tract ÃÑÁ¶»ç Á¶»ç±¸, ¼¾¼­½º Á¶»ç±¸
center Áß½É, Áß¾Ó
centering Áß½ÉÈ­
central composite design Áß½ÉÇÕ¼º¼³°è
central factorial moments Á߽ɰè½ÂÀû·ü
central limit theorem Á߽ɱØÇÑÁ¤¸®
central moment Áß½ÉÀû·ü
central tendency Á߽ɰæÇ⼺, Á߽ɼºÇâ
central value Á߽ɰª
centroid ¹«°ÔÁß½É, Áß½É(ñìãý)
chain ¿¬¼â, »ç½½
chain-binomial model ¿¬¼âÀÌÇ׸ðÇü
chain block design ¿¬¼â ºí·Ï ¼³°è
chain rule ¿¬¼â¹ýÄ¢
Champernowne distribution èÆÛ³ª¿î ºÐÆ÷
chance ¿ì¿¬
chance cause ¿ì¿¬¿øÀÎ
chance variation ¿ì¿¬º¯µ¿
change of variables º¯¼ö¹Ù²Þ, º¯¼öº¯È¯
change-over design Àüȯ¼³°è
change-over trial Àüȯ½ÃÇà
change point º¯È­½ÃÁ¡, º¯È­Á¡
Chapman-Kolmogorov equation äÇÁ¸¸-Äݸð°í·ÎÇÁ ¹æÁ¤½Ä
character ¹®ÀÚ
characteristic curve Ư¼º°î¼±
characteristic equation Ư¼º¹æÁ¤½Ä, °íÀ¯¹æÁ¤½Ä
characteristic function Ư¼ºÇÔ¼ö, °íÀ¯ÇÔ¼ö
characteristic root Ư¼º±Ù, °íÀ¯±Ù
characteristics Ư¼º
Chariler distribution »þ¸®¿¡ ºÐÆ÷
Chariler polynomial »þ¸®¿¡ ´ÙÇ×½Ä
chart µµÇ¥, ±×¸²Ç¥, °ü¸®µµ
Chauvenet's criterion ¼îºê³×Æ®ÀÇ ±âÁØ
Chebyshev inequality üºñ¼ÎÇÁ ºÎµî½Ä
check sheet Á¡°ËÁö, üũ½ÃÆ®
Chernoff face ü¸£³ëÇÁ ¾ó±¼
chi-function Ä«ÀÌ ÇÔ¼ö
chi-square Ä«ÀÌÁ¦°ö
chi-squre distribution Ä«ÀÌÁ¦°öºÐÆ÷
chi-squre random variable Ä«ÀÌÁ¦°öÈ®·üº¯¼ö
chi-square statistic Ä«ÀÌÁ¦°öÅë°è·®
chi-square test Ä«ÀÌÁ¦°ö°ËÁ¤[°ËÁõ]
chip experiment Ĩ ½ÇÇè
Cholesky decomposition ÄÝ·¹½ºÅ° ºÐÇØ
chunk sampling µ¢¾î¸® Ç¥Áý
circular chart ¿øµµÇ¥, ¿ø±×¸²
circular distribution ¿øÇüºÐÆ÷
circular formula ¼øÈ¯½Ä
circular normal distribution ¿øÇüÁ¤±ÔºÐÆ÷
circula permutation ¿øÇü¼ø¿­
circular quartile deviation ¿øÇü»çºÐÆíÂ÷
circular range ¿øÇü¹üÀ§
circular triad ¿øÇü»ï°¢°ü°è
class °è±Þ
class boundary °è±Þ°æ°è
class frequency °è±Þµµ¼ö[ºóµµ]
class interval °è±Þ±¸°£
class lower limit °è±ÞÇÏ´Ü, °è±ÞÇÏÇÑ
class smbol °è±Þ±âÈ£
class upper limit °è±Þ»ó´Ü, °è±Þ»óÇÑ
class value °è±Þ°ª
class width °è±ÞÆø
classification ºÐ·ù
classification statistic ºÐ·ùÅë°è·®
climbing method µî»ê¹ý
clinical epidemiology ÀÓ»ó¿ªÇÐ
clinical trial ÀÓ»ó½ÃÇè, ÀÓ»ó½ÃÇà
closed ´ÝÈù
closed-ended question Æó¼âÇüÁú¹®
closed form ´ÝÈù Çü½Ä, Æó¼âÇü
closed formula ´ÝÈù °ø½Ä
closed interval ´ÝÈù ±¸°£, Æó±¸°£
closed sequential sampling ´ÝÈù ¼øÂ÷Àû Ç¥Áý, Æó¼øÂ÷Àû Ç¥Áý
closed sequential test ´ÝÈù[Æó]¼øÂ÷Àû °ËÁ¤[°ËÁõ]
closed set ´ÝÈù ÁýÇÕ, ÆóÁýÇÕ
cluster ±ºÁý, Áý¶ô
cluster analysis ±ºÁýºÐ¼®, Áý¶ôºÐ¼®
cluster sampling ±ºÁýÇ¥Áý, Áý¶ôÇ¥Áý
cluster size ±ºÁýÅ©±â, Áý¶ôÅ©±â
Cochran's criterion ÄÚÅ©¶õÀÇ ±âÁØ
Cochran's test ÄÚÅ©¶õÀÇ °ËÁ¤[°ËÁõ]
Cochran's theorem ÄÚÅ©¶õÀÇ Á¤¸®
Cochran-Armitage test ÄÚÅ©¶õ-¾Æ¹ÌƼÁö °ËÁ¤[°ËÁõ]
Cochrane-Orcutt iterative process ÄÚÅ©·¹ÀÎ-¾îÄÆÆ® ¹Ýº¹ÀýÂ÷
code ÄÚÆ®, ºÎÈ£
coding ÄÚµù, ºÎȣȭ
coefficient °è¼ö
coefficient of confidence ½Å·Ú°è¼ö
coefficient of detrmintion °áÁ¤°è¼ö
coefficient of elasticity ź·Â¼º°è¼ö
coefficient of reliability ½Å·Ú¼º°è¼ö, ½Å·Ú¼º
coefficient of variation [CV] º¯µ¿°è¼ö, º¯À̰è¼ö
cofactor ¿©Àμö
cograduation µ¿¼øÀ§
Cohen's measure of agreement ÄÚÇîÀÇ ÇÕÄ¡µµ
coherence Àϰü¼º
coherent structure ÀÀÁý±¸Á¶
cohort analysis ÄÚȣƮ ºÐ¼®
cohort study ÄÚȣƮ ¿¬±¸
collapsed stratum method ºØ±«Ãþ¹æ¹ý
collapsibility ºØ±«°¡´É¼º
collection ¸ðÀÓ, ÁýÇÕ
collinearity °ø¼±¼º, °ø¼±Çü¼º
column ¿­
column vector ¿­ º¤ÅÍ
combination Á¶ÇÕ
combiantion of tests °ËÁ¤[°ËÁõ](ÀÇ) °áÇÕ
combinatorial arrangement Á¶Çչ迭
combiantorial test Á¶ÇÕ°ËÁ¤[°ËÁõ]
combinatorics Á¶ÇÕÀÌ·Ð
combined estimator °áÇÕÃßÁ¤·®
common factor °øÅëÀÎÀÚ
common factor variance °øÅëÀÎÀںлê
communality °øÅ뼺
communicating »óÈ£µµ´Þ°¡´É(ÇÑ)
communicating class »óÈ£µµ´Þ°¡´ÉÁý´Ü
commutative law ±³È¯¹ýÄ¢
comparative assay ºñ±³½ÃÇè
comparative mortality figure ºñ±³»ç¸ÁÀÚ¼ö
comparative mortality index ºñ±³»ç¸ÁÁö¼ö
compensating error º¸»ó¿ÀÂ÷
competing risk model °æÀïÀ§Çè¸ðÇü
complement ¿©ÁýÇÕ, º¸ÁýÇÕ, ³ª¸ÓÁö ÁýÇÕ
complementary ¿©, º¸
complementary event ¿©»ç°Ç, º¸»ç°Ç, ³ª¸ÓÁö »ç°Ç
complementary log-log º¸ ·Î±×-·Î±×
complete ¿Ïºñ, ¿ÏÀü
complete block ¿Ïºñ ºí·Ï
complete class ¿Ïºñ·ù
complete confounding ¿ÏÀüÁßø, ¿ÏÀüÈ¥¼±
complete enumeration ÀüºÎÁ¶»ç
complete life table ¿ÏÀü»ý¸íÇ¥
complete linkage ÃÖÀ忬°á(¹ý), ¿ÏÀü¿¬°á(¹ý)
complete measure ¿ÏºñÃøµµ
complete metric space ¿Ïºñ°Å¸®°ø°£
complete space ¿Ïºñ°ø°£
complete sufficient statistic ¿ÏºñÃæºÐÅë°è·®
completely balanced ¿ÏÀü±ÕÇü
completely randomized design ¿ÏÀüÀÓÀÇÈ­¼³°è, ¿ÏÀüÈ®·üÈ­¼³°è
completeness ¿Ïºñ¼º
complex Gaussian distribution º¹¼Ò °¡¿ì½º ºÐÆ÷
complex-valued function º¹¼Ò°ªÇÔ¼ö
complex variable º¹¼Òº¯¼ö
complex Wishart distribution º¹¼Ò À§»þÆ® ºÐÆ÷
component ¼ººÐ, ºÎǰ
component bar chart ¼ººÐ¸·´ëµµÇ¥
composite design º¹ÇÕ¼³°è, ÇÕ¼º¼³°è
composite hypothesis º¹ÇÕ°¡¼³
composite index Á¾ÇÕÁö¼ö, º¹ÇÕÁö¼ö
composite sampling scheme º¹ÇÕÇ¥Áý¼³°è
composite system º¹ÇսýºÅÛ
composition of population Àα¸±¸¼º
compound event º¹ÇÕ»ç°Ç
compound experiment º¹ÇÕ½ÇÇè
compound frequency distribution º¹ÇÕµµ¼ö[ºóµµ]ºÐÆ÷
compound hypergeometric distribution º¹ÇÕÃʱâÇÏºÐÆ÷
compound Poisson distribution º¹ÇÕ Æ÷¾Æ¼Û ºÐÆ÷
compound Poisson process º¹ÇÕ Æ÷¾Æ¼Û °úÁ¤
compressed limit ¾ÐÃàÇѰè
computation °è»ê, ¼À
concave ¿À¸ñ
concavity ¿À¸ñ¼º
concentration coefficient ÁýÁß°è¼ö
conceptual population °³³ä(Àû)¸ðÁý´Ü
conclusion °á·Ð
concomitance º´Á¸, º´Àç
concordance ºÎÇÕ¼º, ÀÏÄ¡¼º
concordant ºÎÇÕÇÏ´Â, ÀÏÄ¡ÇÏ´Â
concurrent deviation º´ÇàÆíÂ÷
condition Á¶°Ç, »óÅÂ
condition number »óżö, Á¶°Ç¼ö
conditional Á¶°ÇºÎ(ÀÇ)
conditional convergence Á¶°ÇºÎ¼ö·Å
conditional density Á¶°ÇºÎ¹Ðµµ
conditional density function Á¶°ÇºÎ ¹ÐµµÇÔ¼ö
conditional distribution Á¶°ÇºÎºÐÆ÷
conditional expectation Á¶°ÇºÎ±â´ë
conditional failure rate Á¶°ÇºÎ°íÀå·ü
conditional independence Á¶°ÇºÎµ¶¸³(¼º)
conditional inference Á¶°ÇºÎÃß·Ð
conditional likelihood Á¶°ÇºÎ°¡´Éµµ
conditional mean Á¶°ÇºÎÆò±Õ
conditional probability Á¶°ÇºÎÈ®·ü
conditional survival function Á¶°ÇºÎ»ýÁ¸ÇÔ¼ö
conditional test Á¶°ÇºÎ°ËÁ¤[°ËÁõ]
conditionally complete Á¶°ÇºÎ¿Ïºñ
conditionally unbiased Á¶°ÇºÎºñÆíÇâ
confidence band ½Å·Ú´ë(¿ª), ½Å·Ú¶ì
confidence coefficient ½Å·Ú°è¼ö
confidence curve ½Å·Ú°î¼±
confidence interval ½Å·Ú±¸°£
confidence level ½Å·Ú¼öÁØ
confidence limit ½Å·ÚÇѰè
confidence region ½Å·Ú¿µ¿ª
confidence set ½Å·ÚÁýÇÕ
configuration ÇüÅÂ
confirmatory data analysis È®ÁõÀû ÀÚ·áºÐ¼®
confluence analysis ÇÕ·ùºÐ¼®
confounding Áßø, È¥¼±, È¥Àç, ±³¶ô
confounding bias ÁßøÆíÇâ, È¥¼±ÆíÇâ
confounding factor Áßø¿äÀÎ
confounding method Áßø¹ý
confounding variable Áßøº¯¼ö
confusion rate 鴵congruential method ÇÕµ¿¹ý
conjoint analysis ÄÁÁ¶ÀÎÆ® ºÐ¼®
conjugate ÄÓ·¹, °ø¾×
conjugate class ÄÓ·¹·ù, °ø¾×·ù
conjugate direction search method ÄÓ·¹¹æÇ⎻ö¹ý
conjugate distribution ÄÓ·¹ºÐÆ÷, °ø¾×ºÐÆ÷
conjugate gradient method ÄÓ·¹°æ»çµµ¹ý
conjugate prior distribution ÄÓ·¹»çÀüºÐÆ÷, °ø¾×»çÀüºÐÆ÷
conjugate space ÄÓ·¹°ø°£, °ø¾×°ø°£
connectedness ¿¬°á¼º
consecutive test °è¼ÓÀû °ËÁ¤[°ËÁõ]
conservative test º¸¼öÀû °ËÁ¤[°ËÁõ]
consistency ÀÏÄ¡¼º
consistent ÀÏÄ¡(Àû)
consistent equation ÇØ¸¦ °®´Â ¹æÁ¤½Ä
consistent estimator ÀÏÄ¡ÃßÁ¤·®
consistent statistic ÀÏÄ¡Åë°è·®
consistent system ÇØ¸¦ °®´Â ¹æÁ¤½Ä°è
consistent test ÀÏÄ¡°ËÁ¤[°ËÁõ]
constant »ó¼ö
constant term »ó¼öÇ×
constraint Á¦¾à(Á¶°Ç)
construct ±¸ÀÎ(ϰì×)
construct validity ±¸ÀΟ´ç¼º
consumer price index ¼ÒºñÀÚ¹°°¡Áö¼ö
consumer price survey [CPS] ¼ÒºñÀÚ¹°°¡Á¶»ç
consumer's risk ¼ÒºñÀÚÀ§Çè
consumption function ¼ÒºñÇÔ¼ö
contagious distribution °¨¿°ºÐÆ÷, ¿À¿°ºÐÆ÷
contaminated distribution ¿À¿°ºÐÆ÷
contaminated normal distribution ¿À¿°Á¤±ÔºÐÆ÷
contaminated variable ¿À¿°º¯¼ö
contamination model ¿À¿°¸ðÇü
content analysis ³»¿ëºÐ¼®
content validity ³»¿ëŸ´ç¼º
contingency ¿ì¹ß¼º
contingency coefficient ¿ì¹ß¼º°è¼ö
contingency table ºÐÇÒÇ¥, ¿ì¹ßÇ¥
continuity ¿¬¼Ó¼º
continuity correction ¿¬¼Ó¼º¼öÁ¤
continuous ¿¬¼ÓÀû, ¿¬¼Ó(ÀÇ)
continuous data ¿¬¼ÓÀÚ·á, ¿¬¼Óµ¥ÀÌÅÍ
continuous distribution ¿¬¼ÓºÐÆ÷
continuous mapping ¿¬¼Ó»ç»ó
continuous measure ¿¬¼ÓÃøµµ
continuous population ¿¬¼Ó¸ðÁý´Ü
continuous probability distribution ¿¬¼ÓÈ®·üºÐÆ÷
continuous probability law ¿¬¼ÓÈ®·ü¹ýÄ¢
continuous process ¿¬¼Ó°úÁ¤
continuous random variable ¿¬¼ÓÈ®·üº¯¼ö
continuous sample space ¿¬¼ÓÇ¥º»°ø°£
continuous sampling plan ¿¬¼ÓÇ¥Áý°èȹ
continuous time Markov chain ¿¬¼Ó½Ã°£ ¸¶¸£ÄÚÇÁ ¿¬¼â
continuous variable ¿¬¼Óº¯¼ö
continuous variate ¿¬¼Óº¯·®
continuously differentiable ¿¬¼Ó¹ÌºÐ°¡´É
contour(line) µî°í¼±
contour level µî°í¼öÁØ
contradict ¸ð¼øÀÌ´Ù
contradiction ¸ð¼ø
contraposition ´ë¿ì
contrast ´ëºñ
contribution ratio ±â¿©ºñ
control ´ëÁ¶, °ü¸®, Á¦¾î
control chart °ü¸®µµ
control chart for attributes °è¼öÇü °ü¸®µµ
control chart for variables °è·®Çü °ü¸®µµ
control group ´ëÁ¶±º, ´ëÁ¶ ±×·ì
control inspection °ü¸®°Ë»ç
control level °ü¸®¼öÁØ
control limit °ü¸®ÇѰè
control of substrata ºÎÃþ°ü¸®
control sheet °ü¸®Áö
control treatment ´ëÁ¶Ã³¸®
control variable Á¦¾îº¯¼ö
controlled experiment Á¦¾î½ÇÇè
converge ¼ö·ÅÇÑ´Ù
convergence ¼ö·Å
convergence in distribution ºÐÆ÷¼ö·Å
convergence in measure Ãøµµ¼ö·Å
convergence in probability È®·ü¼ö·Å
conversion Àüȯ
convex º¼·Ï(ÇÑ)
convex function º¼·ÏÇÔ¼ö
convex hull ÃÖ¼Òº¼·ÏÁýÇÕ
convex set º¼·ÏÁýÇÕ
convolution ÇÕ¼º°ö, Æ÷°·
convolution formula ÇÕ¼º°ö°ø½Ä
Cook's distance ÄîÀÇ °Å¸®
coordinate ÁÂÇ¥
coordinate axis ÁÂÇ¥Ãà
coordinate plane ÁÂÇ¥Æò¸é
coordinate system ÁÂÇ¥°è
coordinate transformation ÁÂÇ¥º¯È¯
Cornish-Fisher expansion ÄڴϽ¬-ÇǼŠÀü°³
corollary µû¸§Á¤¸®
corrected moment ¼öÁ¤Àû·ü
correction ¼öÁ¤
correction for continuity ¿¬¼Ó¼º¼öÁ¤
correction for grouping ±×·ìÈ­¼öÁ¤
correlation »ó°ü
correlation coefficient »ó°ü°è¼ö
correlation coefficient matrix »ó°ü°è¼öÇà·Ä
correlation diagram »ó°üµµ
correlation function »ó°üÇÔ¼ö
correlation matrix »ó°üÇà·Ä
correlation ratio »ó°üºñ
correlation table »ó°üÇ¥
correlogram »ó°üµµÇ¥
correspondence analysis ´ëÀÀºÐ¼®
cospectrum °ø(Íì)½ºÆåÆ®·³
cost function ºñ¿ëÇÔ¼ö
cost of living »ý°èºñ
countability axiom °¡»ê°ø¸®
countable °¡»êÀÇ, ¼¿ ¼ö ÀÖ´Â
countable probability space °¡»êÈ®·ü°ø°£
countable set °¡»êÁýÇÕ, ¼¿ ¼ö ÀÖ´Â ÁýÇÕ
counter example ¹Ý·Ê
counting measure ¼ÀÃøµµ, °è¼öÃøµµ
counting process ¼À°úÁ¤, °è¼ö°úÁ¤
covariance °øºÐ»ê
covariance function °øºÐ»êÇÔ¼ö
covariance matrix °øºÐ»êÇà·Ä
covariance structure model °øºÐ»ê±¸Á¶¸ðÇü
covariate °øº¯·®
covariation °øº¯µ¿
covariogram °øº¯µ¿µµ
coverage Æ÷ÇÔ
coverage accuracy Æ÷ÇÔÁ¤È®µµ
coverage error Æ÷ÇÔ¿ÀÂ÷
coverage probability Æ÷ÇÔÈ®·ü
Craig's theorem Å©·¹À̱×ÀÇ Á¤¸®
Cramer's rule Å©·¡¸ÓÀÇ ±ÔÄ¢
Cramer-Rao inequality Å©·¡¸Ó-¶ó¿À ºÎµî½Ä
cramer-von Miss test Å©·¡¸Ó-Æù¹ÌÁ¦½º °ËÁ¤[°ËÁõ]
credible interval ½Å·Ú±¸°£, ½Å¿ë±¸°£
criterion ±âÁØ
criterion for stratification ÃþÈ­±âÁØ
criterion-related validity ±âÁذü·Ã Ÿ´ç¼º
critical condition ÀÓ°èÁ¶°Ç, ±â°¢Á¶°Ç
critical failure °áÁ¤Àû °íÀå, ÀÓ°è°íÀå
critical level of significance ÀÓ°èÀ¯ÀǼöÁØ, ±â°¢À¯ÀǼöÁØ
critical point ÀÓ°èÁ¡, ±â°¢Á¡
critical region ÀӰ迪, ±â°¢¿ª
critical value ÀÓ°è°ª, ±â°¢°ª
Cronbach's alpha Å©·Ð¹ÙÈåÀÇ ¾ËÆÄ
cross amplitude spectrum ±³Â÷ÁøÆø ½ºÆåÆ®·³
cross classification ±³Â÷ºÐ·ù
cross correlation ±³Â÷»ó°ü
cross covariance ±³Â÷°øºÐ»ê
cross-over design ±³Â÷¼³°è
cross product ±³Â÷°ö, º¤ÅͰö, ¿ÜÀû
cross-product ratio ±³Â÷°öÀÇ ºñ
cross range ±³Â÷¹üÀ§
cross-sectional analysis Ⱦ´Ü¸éºÐ¼®
cross-sectional study Ⱦ´Ü¸é¿¬±¸
cross spectrum ±³Â÷ ½ºÆåÆ®·³
cross tabulation ±³Â÷Ç¥, ±³Â÷Á¦Ç¥
cross-validation ±³Â÷Ÿ´ç¼º(ÀÔÁõ)
crossed factor ±³Â÷¿äÀÎ
crude birth rate Á¶(ðØ)Ãâ»ý·ü
crude death rate Á¶(ðØ)»ç¸Á·ü
crude moment Á¶(ðØ)Àû·ü
cubic lattice ÀÔ¹æ°ÝÀÚ
cubic spline »ïÂ÷ ½ºÇöóÀÎ
cuboidal lattice design ÀÔ¹æÇü°ÝÀÚ¼³°è
cumulant ´©À² ´©ÀûÀû·ü
cumulant generating function ´©À², »ý¼ºÇÔ¼ö
cumulative distribution function ´©ÀûºÐÆ÷ÇÔ¼ö
cumulative error ´©Àû¿ÀÂ÷
cumulative failure curve ´©Àû°íÀå°î¼±
cumulative frequency ´©Àûµµ¼ö[ºóµµ]
cumulative frequency distribution ´©Àûµµ¼ö[ºóµµ]ºÐÆ÷
cumulative hazard function ´©ÀûÀ§ÇèÇÔ¼ö
cumulative hazard rate ´©ÀûÀ§Çè·ü
cumulative incidence ´©Àû¹ß»ý·ü
cumulative logit ´©Àû ·ÎÁþ
cumulative process ´©Àû°úÁ¤
cumulative relative frequency ´©Àû»ó´ëµµ¼ö[ºóµµ]
cumulative sum chart ´©ÀûÇÕ(°ü¸®)µµ
curtailed inspection ´ÜÃà°Ë»ç
curtailed sampling ´ÜÃà »ùÇøµ, ´ÜÃàÇ¥Áý
curvature °î·ü
curve °î¼±
curve fitting °î¼±ÀûÇÕ
curvilinear regression °î¼±È¸±Í
cutoff Àý»ç, ¹ö¸²
cutoff method Àý»ç¹ý
cutoff point Àý»çÁ¡
cutoff value Àý»ç°ª, °æ°è°ª
cycle ¼øÈ¯, ¼øÈ¯¸¶µð
cycle trend ¼øÈ¯Ãß¼¼
cyclic design ¼øÈ¯¼³°è
cyclic incomplete block design ¼øÈ¯ºÒ¿Ïºñ ºí·Ï ¼³°è
cyclic order ¼øÈ¯ ¼ø¼­
cyclic permutation ¼øÈ¯¼ø¿­, ¼øÈ¯Ä¡È¯
cyclic series ¼øÈ¯°è¿­
cylinder ¿ø±âµÕ, ¿øÁÖ
cylinder set ¿øÁÖÁýÇÕ
cylindrically rotatable design ¿øÁÖÇüȸÀü°¡´É¼³°è

damped oscillation ÁøÆø°¨¼ÒÁøµ¿
data ÀÚ·á, µ¥ÀÌÅÍ
data collection ÀÚ·á¼öÁý, µ¥ÀÌÅÍ ¼öÁý
data processing ÀÚ·áó¸®, µ¥ÀÌÅÍ Ã³¸®
data sheet ÀÚ·áÁö
death »ç¸Á
death process »ç¸Á°úÁ¤
death rate »ç¸Á·ü
debugging ¿À·ù¼öÁ¤
decile ½ÊºÐÀ§¼ö
decile deviation ½ÊºÐÀ§ÆíÂ÷
decimal point ¼Ò¼öÁ¡
decimal system ½ÊÁø¹ý
decision function °áÁ¤ÇÔ¼ö
decision making ÀÇ»ç°áÁ¤
decision procedure °áÁ¤ÀýÂ÷
decision rule °áÁ¤±ÔÄ¢
decision space °áÁ¤°ø°£
decision theory °áÁ¤ÀÌ·Ð
decomposition ºÐÇØ
decreasing failure rate °¨¼Ò°íÀå·ü
decreasing hazard rate °¨¼ÒÀ§Çè·ü
deduction ¿¬¿ª, ¿¬¿ª¹ý
deep stratification ½ÉÃþÈ­
defect °áÁ¡
defective ºÒ·®
defective item ºÒ·®Ç°¸ñ, ºÒ·®Ç°
defective proportion ºÒ·®·ü
defective unit ºÒ·®´ÜÀ§
deficiency ºÎÁ·
de Finetti's theorem µåÇÇ³×Æ¼ÀÇ Á¤¸®
defining contrast Á¤ÀÇ´ëºñ
definition Á¤ÀÇ
degenerate ÅðÈ­
degenerate distribution ÅðÈ­ºÐÆ÷
degree of association ¿¬°üµµ
degree of belief È®½Åµµ
degree of freedom ÀÚÀ¯µµ
delayed renewal process Áö¿¬°»½Å°úÁ¤
Delphi technique µ¨ÆÄÀÌ[µ¨ÇÇ] ±â¹ý
delta function µ¨Å¸ ÇÔ¼ö
delta method µ¨Å¸ ¹æ¹ý
Deming cycle µ¥¹Ö »çÀÌŬ, µ¥¹Ö ¼øÈ¯
demography Àα¸Åë°èÇÐ
De Moivre's theorem µå¹«¾Æºê¸£ÀÇ Á¤¸®
De Morgan's law µå¸ð¸£°£ÀÇ ¹ýÄ¢
dendrogram, dendogram ³ª¹«Çü±×¸², ¼ö¸ñµµ, µ§µå·Î±×·¥
dense Á¶¹ÐÇÑ
dense set Á¶¹ÐÁýÇÕ
density ¹Ðµµ
density function ¹ÐµµÇÔ¼ö
denumerable ¹øÈ£ ºÙÀÏ ¼ö ÀÖ´Â, °¡»êÀÇ
departure process ÀÌÅ»°úÁ¤
dependence Á¾¼Ó¼º, ÀÇÁ¸¼º
dependent Á¾¼Ó(Àû), ÀÇÁ¸(Àû)
dependent event Á¾¼Ó»ç°Ç, Á¾¼Ó»ç»ó
dependent variable Á¾¼Óº¯¼ö
depth ±íÀÌ
derivative µµÇÔ¼ö, ¹ÌºÐ°è¼ö
descent Çϰ­
description ±â¼ú, ¼­¼ú
descriptive statistics ±â¼úÅë°è(ÇÐ)
descriptive survey ±â¼úÁ¶»ç
design effect ¼³°èÈ¿°ú, °èȹȿ°ú
design matrix ¼³°èÇà·Ä, °èȹÇà·Ä
design of experiment ½ÇÇè¼³°è, ½ÇÇè°èȹ
design stress ¼³°è ½ºÆ®·¹½º
destructive test ÆÄ±«°Ë»ç
determinant Çà·Ä½Ä
deterministic model °áÁ¤Àû ¸ðÇü
deterministic process °áÁ¤Àû °úÁ¤
deterministic simulation °áÁ¤Àû ¸ðÀǽÇÇè, °áÁ¤Àû ¸ðÀǽÃÇà
deviance ÀÌÅ»µµ, ÆíÂ÷
diagnosis Áø´Ü
diagnostic bias Áø´ÜÆíÇâ
diagonal element ´ë°¢¿ø¼Ò
diagonal matrix ´ë°¢Çà·Ä
diagonal process ´ë°¢°úÁ¤
diagonalization ´ë°¢È­
diagram µµÇ¥, ´ÙÀ̾î±×·¥
dichotomous À̺ÐÀû, ÀÌÇ×Àû, ÀÌÁö(ì£ò«)ÀÇ
dichotomy À̺йý
difference Â÷, Â÷ºÐ, Â÷ÁýÇÕ
difference operator Â÷ºÐ¿¬»êÀÚ
difference set Â÷ÁýÇÕ
difference table Â÷ºÐÇ¥
differentiable ¹ÌºÐ°¡´ÉÇÑ
differential equation ¹ÌºÐ¹æÁ¤½Ä
differential mortality Â÷ÀÌ»ç¸Á·Â
differential stochastic process ¹ÌºÐÈ®·ü°úÁ¤
differentiation ¹ÌºÐ
difficulty index ³­À̵µ
diffuse prior È®»ê»çÀü(ºÐÆ÷)
diffusion È®»ê
diffusion equation È®»ê¹æÁ¤½Ä
diffusion index È®»êÁö¼ö
diffusion process È®»ê°úÁ¤
dimension Â÷¿ø
dimensional reduction Â÷¿øÃà¼Ò
direct assay Á÷Á¢½ÃÇè, Á÷Á¢»ý°Ë
direct effect Á÷Á¢È¿°ú
direct product Á÷Àû, Á÷Á¢°ö
direct sum Á÷ÇÕ
direction vector ¹æÇ⺤ÅÍ
directional data ¹æÇâÀÚ·á
directional derivative ¹æÇâµµÇÔ¼ö
Dirichlet distribution µð¸®½´·¹ ºÐÆ÷
disaggregation model ºÐ¹è¸ðÇü
discontinuity ºÒ¿¬¼Ó(¼º)
discontinuous ºÒ¿¬¼ÓÀÎ
discontinuous process ºÒ¿¬¼Ó°úÁ¤
discordance ºñºÎÇÕ¼º, ºñÀÏÄ¡¼º
discordant ºñºÎÇÕ(ÀÇ), ºñÀÏÄ¡(ÀÇ)
discordant pair ºñºÎÇÕ½Ö, ºñÀÏÄ¡½Ö
discrepancy measure ºÒÀÏÄ¡Ãøµµ
discrete ÀÌ»ê, ¶ç¾ö
discrete data ÀÌ»êÀÚ·á, ÀÌ»êÇü µ¥ÀÌÅÍ
discrete distribution ÀÌ»êºÐÆ÷
discrete measure ÀÌ»êÃøµµ
discrete population ÀÌ»ê¸ðÁý´Ü
discrete power series distribution ÀÌ»ê¸è[°Åµì°ö]±Þ¼öºÐÆ÷
discrete probability distribution ÀÌ»êÈ®·üºÐÆ÷
discrete random variable ÀÌ»êÈ®·üº¯¼ö
discrete space ÀÌ»ê°ø°£
discrete stochastic process ÀÌ»êÈ®·ü°úÁ¤
discrete time interval ÀÌ»ê½Ã±¸°£
discrete variable À̻꺯¼ö
discriminant analysis ÆÇº°ºÐ¼®
discriminant function ÆÇº°ÇÔ¼ö
discriminant index º¯º°µµ
disjoint events ¹è¹Ý»ç°Ç, ¼­·Î °ãÄ¡Áö ¾Ê´Â »ç°Ç
dispersion »êÆ÷, ÆÛÁü(¼º)
dispersion index »êÆ÷Áö¼ö, ÆÛÁü¼º Áö¼ö
dispersion matrix »êÆ÷Çà·Ä, ÆÛÁü¼º Çà·Ä
dispersion stabilizing transformation »êÆ÷[ÆÛÁü] ¾ÈÁ¤È­ º¯È¯
dispersion test »êÆ÷°ËÁ¤[°ËÁõ], ÆÛÁü¼º°ËÁ¤[°ËÁõ]
dissimilarity ºñÀ¯»ç¼º
distance °Å¸®
distance distribution °Å¸®ºÐÆ÷
distributed harmonic process ºÐ¹èÁ¶È­°úÁ¤
distributed lag ºÐ¹è½ÃÂ÷, ºÐÆ÷½ÃÂ÷
distributed oscillation ºÐ¹èÁøµ¿
distribution ºÐÆ÷
distribution curve ºÐÆ÷°î¼±
distribution form ºÐÆ÷Çü
distribution-free ºÐÆ÷¹«°ü(ÇÑ), ºÐÆ÷¿¡ ÀÇÁ¸ÇÏÁö ¾Ê´Â
distribution-free sufficiency ºÐÆ÷¹«°üÃæºÐ¼º
distribution function ºÐÆ÷ÇÔ¼ö
distribution polygon ºÐÆ÷´Ù°¢Çü
distribution table ºÐÆ÷Ç¥
distributive law ºÐ¹è¹ýÄ¢
disturbance factor ±³¶õ¿äÀÎ
diverge ¹ß»êÇÏ´Ù
divergence ¹ß»ê
divergent ¹ß»êÇÏ´Â
divergent sequence ¹ß»ê¼ö¿­
dividing value ³ª´©´Â °ª, ºÐÇÒ°ª
divisibility ³ª´©¾îÁü
divisible ³ª´­ ¼ö ÀÖ´Â, ³ª´©¾îÁö´Â
division ³ª´°¼À
Dodge continuous sampling plan ´åÁö ¿¬¼Ó »ùÇ®¸µ °èȹ
domain ¿µ¿ª, Á¤ÀÇ¿ª
domain of convergence ¼ö·Å¿µ¿ª
domain of definition Á¤ÀÇ¿ª
domain of study ¿¬±¸¿µ¿ª
dominant eigenvalue Áö¹èÀû °íÀ¯°ª
dominant eigenvector Áö¹èÀû °íÀ¯º¤ÅÍ
dominated convergence theorem Áö¹è¼ö·ÅÁ¤¸®
Donsker's theorem µ·½ºÄ¿ÀÇ Á¤¸®
Doolittle technique µÎ¸®Æ² ±â¹ý
dose metameter ¿ë·® ¸ÞŸ¹ÌÅÍ
dose response ¿ë·®¹ÝÀÀ
dot graph Á¡±×·¡ÇÁ
dot product ½ºÄ®¶ó °ö, Á¡°ö
dotted line Á¡¼±
double binomial distribution ÀÌÁßÀÌÇ×ºÐÆ÷
double blinding method ÀÌÁß´«°¡¸²¹æ¹ý, ÀÌÁ߸Ͱ˹ý
double confounding ÀÌÁßÁßø
double dichotomy ÀÌÁßÀ̺йý
double exponential distribution ÀÌÁßÁö¼öºÐÆ÷
double integral ÀÌÁßÀûºÐ
double k-class estimator ÀÌÁß k±Þ ÃßÁ¤·®
double lattice design ÀÌÁß°ÝÀÚ¼³°è
double layer ÀÌÁßÃþ
double logarithmic chart ÀÌÁß ·Î±× µµÇ¥
double Pareto curve ÀÌÁß ÆÄ·¹Åä °î¼±
double periodic function ÀÌÁßÁÖ±âÇÔ¼ö
double precision À̹èÁ¤¹Ðµµ
double reversal design ÀÌÁß¹ÝÀü¼³°è
double sampling inspection plan ÀÌÁß »ùÇøµ °Ë»ç°èȹ
double sampling ÀÌÁßÇ¥Áý, ÀÌÁß »ùÇøµ
double series ÀÌÁß±Þ¼ö
double stochastic matrix ÀÌÁßÈ®·üÇà·Ä
doubly stochastic Markov chain ÀÌÁßÈ®·ü ¸¶¸£ÄÚÇÁ ¿¬¼â
doubly stochastic Poisson process ÀÌÁßÈ®·ü Æ÷¾Æ¼Û °úÁ¤
doubly truncated normal distribution ÀÌÁßÀý´ÜÁ¤±ÔºÐÆ÷
down-cross ÇÏÇâ±³Â÷
downward rank ÇÏÇâ¼øÀ§
dropout ÁßµµÅ»¶ô
dual ½Ö´ë
dual process ½Ö´ë°úÁ¤
dual scaling ½Ö´ëôµµ¹ý
dual space ½Ö´ë°ø°£
dual theorem ½Ö´ëÁ¤¸®
dumy level °¡¼öÁØ
dumy treatment °¡Ã³¸®
dumy variable °¡º¯¼ö
Duncan's multiple range test ´øÄ­ÀÇ ´ÙÁß¹üÀ§°ËÁ¤[°ËÁõ]
duplicated sampling Áߺ¹Ç¥Áý
duplication process Áߺ¹°úÁ¤
durability ³»±¸¼º
Durbin-Watson statistic ´õºó-¿Ó½¼ Åë°è·®
dyadic system ÀÌÁø¹ý
dynamic graphics µ¿Àû ±×·¡ÇȽº
dynamic model µ¿Àû ¸ðÇü
dynamic process µ¿Àû °úÁ¤
dynamic programming µ¿Àû °èȹ¹ý
dynamic simulation µ¿Àû ¸ðÀǽÇÇè, µ¿Àû ¸ðÀǽÃÇà
dynamical system µ¿Àû ü°è

ecological survey »ýÅÂÁ¶»ç
econometrics °è·®°æÁ¦ÇÐ
economic design °æÁ¦Àû ¼³°è
economic index °æÁ¦ÁöÇ¥
economically active population °æÁ¦È°µ¿Àα¸
Edgeworth's series ¿¡Áö¿ö½ºÀÇ ±Þ¼ö
Edgeworth expansion ¿¡Áö¿ö½º Àü°³
effect È¿°ú
effect size È¿°úÅ©±â
effective number of replication À¯È¿¹Ýº¹¼ö
effective price survey ½ÇÈ¿¹°°¡Á¶»ç
effective range À¯È¿¹üÀ§
effective unit À¯È¿´ÜÀ§
efficacy È¿´É
efficiency È¿À²(¼º)
efficiency index È¿À²Áö¼ö
efficient estimation È¿À²(Àû)ÃßÁ¤
Ehrenfest model ¿¡·»Æä½ºÆ® ¸ðÇü
eigenvalue °íÀ¯°ª
eigenvector °íÀ¯º¤ÅÍ
Eisenhart model ¾ÆÀÌÁ¨ÇÏÆ® ¸ðÇü
element ¿ø¼Ò, ¿ø
elementary contrast ±âº»´ëºñ
elementary event ±âº»»ç°Ç, ±Ù¿ø»ç»ó
elementary probability set ±âº»È®·üÁýÇÕ
elementary unit ±âº»´ÜÀ§
elimination of variable º¯¼ö¼Ò°Å
ellipse Ÿ¿ø
ellipsoid Ÿ¿øÃ¼
elliptic coordinates Ÿ¿øÁÂÇ¥
elliptical normal distribution Ÿ¿øÇüÁ¤±ÔºÐÆ÷
elliptical truncation Ÿ¿øÇüÀý´Ü
elliptically contoured distribution Ÿ¿øÇüµî°í¼±ºÐÆ÷
elliptically symmetric distribution Ÿ¿øÇü´ëĪºÐÆ÷
ellipticity Ÿ¿øÀ²
embedded process / imbedded process ³¢¿ö³ÖÀº °úÁ¤, ³¢¿öÁø °úÁ¤
empirical Bayes estimator °æÇèÀû º£ÀÌÁî ÃßÁ¤·®
empirical Bayes procedure °æÇèÀû º£ÀÌÁî ÀýÂ÷
empirical distribution function °æÇèÀû ºÐÆ÷ÇÔ¼ö
empirical likelihood °æÇèÀû °¡´Éµµ
empirical probability °æÇèÀû È®·ü
empirical process °æÇè°úÁ¤, °æÇèÈ®·ü°úÁ¤
empirical relation °æÇèÀû °ü°è
empty cell test ºóÄ­°ËÁ¤[°ËÁõ]
empty event °ø»ç°Ç
empty set °øÁýÇÕ
endogenous variable ³»»ýº¯¼ö
endpoint ³¡Á¡
end-value correction ³¡°ª¼öÁ¤
engineering process control °øÇÐÀû °øÁ¤°ü¸®
enquete ¾ÓÄÉÆ®, ¿©·ÐÁ¶»ç
entrance time ÁøÀԽð£
entropy ¿£Æ®·ÎÇÇ
enumerable ¼¿ ¼ö ÀÖ´Â
enumeration Á¶»ç, ½Ç»ç
enumeration district Á¶»ç±¸, ½Ç»ç±¸
enumeration method Á¶»ç¹æ¹ý
enumerator Á¶»ç¿ø
environmental heritability ȯ°æÀ¯Àü
environmental statistics ȯ°æÅë°è(ÇÐ)
epidemic model Àü¿°¸ðÇü
epidemic process Àü¿°°úÁ¤
epidemiology ¿ªÇÐ(æ¹ùÊ)
equal probability selection method µîÈ®·ü¼±Åùý
equal spacing test µî°£°Ý °ËÁ¤[°ËÁõ]
equal variance µîºÐ»ê
equality µî½Ä, »óµî
equally correlated distribution µî»ó°üºÐÆ÷
equally likely events µîÈ®·ü»ç»ó
equation ¹æÁ¤½Ä
equicontinuity µî¿¬¼Ó
equilibrium ÆòÇü, ±ÕÇü
equilibrium distribution ÆòÇüºÐÆ÷
equitable game °øÁ¤(ÇÑ) °ÔÀÓ
equivalence µ¿µî, µ¿Ä¡
equivalence class µ¿µî·ù, µ¿Ä¡·ù
equivalence relation µ¿µî°ü°è, µ¿Ä¡°ü°è
equivalent µ¿µîÇÑ, µ¿Ä¡ÀΠ
equivalent dose µ¿°¡¿ë·®
equivalent event µ¿µî»ç°Ç, µ¿Ä¡»ç°Ç
equivalent sample µ¿µîÇ¥º»
equivariance (1) µîº¯¼º
equivariance (2) µîºÐ»ê¼º
equivariant estimator µîº¯ÃßÁ¤·®
ergodic ¿¡¸£°íµñ
ergodic Markov chain ¿¡¸£°íµñ ¸¶¸£ÄÚÇÁ ¿¬¼â
ergodic process ¿¡¸£°íµñ °úÁ¤
ergodic state ¿¡¸£°íµñ »óÅÂ
ergodic theorem ¿¡¸£°íµñ Á¤¸®
ergodicity ¿¡¸£°íµñ¼º
Erlang distribution ¾î¶ûºÐÆ÷
error ¿ÀÂ÷
error analysis ¿ÀÂ÷ºÐ¼®
error function ¿ÀÂ÷ÇÔ¼ö
error graph ¿ÀÂ÷±×·¡ÇÁ
error probability ¿ÀÂ÷È®·ü
error sum of squares ¿ÀÂ÷Á¦°öÇÕ
error term ¿ÀÂ÷Ç×
error variance ¿ÀÂ÷ºÐ»ê
errors in variable º¯¼ö³» ¿ÀÂ÷
Esseen`s lemma ¿¡¾ÀÀÇ º¸Á¶Á¤¸®
Esseen-type approximation ¿¡¾ÀÇü ±Ù»ç
essentially complete class º»ÁúÀû ¿Ï·ùºñ
estimable function ÃßÁ¤°¡´ÉÇÔ¼ö
estimate ÃßÁ¤°ª
estimated percentage error ÃßÁ¤¹éºÐÀ² ¿ÀÂ÷
estimated relative error ÃßÁ¤ »ó´ë¿ÀÂ÷
estimating equation ÃßÁ¤ ¹æÁ¤½Ä
estimation ÃßÁ¤
estimation error ÃßÁ¤¿ÀÂ÷
estimator ÃßÁ¤·®
Euclidean distance À¯Å¬¸®µå °Å¸®
Euclidean space À¯Å¬¸®µå °ø°£
eugenics »ýÇÐ
even function ¦ÇÔ¼ö, ¿ìÇÔ¼ö
even number ¦¼ö
even permutation ¦¼ø¿­, ¦ġȯ
event »ç°Ç, »ç»ó
evolutionary operation[EVOP] ÁøÈ­Àû Á¶¾÷[°øÁ¤]
evolutionary process ÁøÈ­°úÁ¤
exact fit ¿ÏÀüÀûÇÕ
exact inference Á¤È®Ãß·Ð
exact sampling theory Á¤È®Ç¥ÁýÀÌ·Ð
exact test Á¤È®°ËÁ¤[°ËÁõ]
example º¸±â, ¿¹
exceedance life test Ãʰú¼ö¸í°ËÁ¤[°ËÁõ]
exceedance statistic ÃʰúÅë°è·®
exchangeable event ±³È¯°¡´É»ç°Ç, ȣȯ[°¡´É]»ç°Ç
exchangeable variable ±³È¯°¡´Éº¯¼ö, ȣȯ[°¡´É]º¯¼ö
exclusive events ¹è¹Ý»ç°Ç, ¹è¹Ý»ç»ó
exhaustive events Àüü¸¦ ÀÌ·ç´Â »ç°Çµé
existence theorem Á¸ÀçÁ¤¸®
exogenous variable ¿Ü»ýº¯¼ö
expansion Àü°³(½Ä)
expansion of function in series ÇÔ¼öÀÇ ±Þ¼öÀü°³
expectation ±â´ë
expected frequency ±â´ëµµ¼ö[ºóµµ]
expected mean square ±â´ëÆò±ÕÁ¦°ö
expected quality level ±â´ëǰÁú¼öÁØ
expected value ±â´ë°ª
experiment ½ÇÇè
experimental design ½ÇÇè¼³°è, ½ÇÇè°èȹ
experimental error ½ÇÇè¿ÀÂ÷
experimental group ½ÇÇ豺
experimental region ½ÇÇ迵¿ª
experimental unit ½ÇÇè´ÜÀ§
experiment-wise error rate ½ÇÇ躰 ¿À·ùÀ²
expert system Àü¹®°¡ ½Ã½ºÅÛ
explanatory variable ¼³¸íº¯¼ö
explicit form ¸í½ÃÀû ÇüÅÂ
exploratory data analysis Ž»öÀû ÀÚ·á[µ¥ÀÌÅÍ]ºÐ¼®
exploratory survey Ž»öÀû Á¶»ç
explosive process Æø¹ß°úÁ¤
explosive stochastic difference equation Æø¹ßÀû È®·üÂ÷ºÐ¹æÁ¤½Ä
exponential distribution Áö¼öºÐÆ÷
exponential family Áö¼öÁ·
exponential form Áö¼öÇü, Áö¼ö²Ã
exponential function Áö¼öÇÔ¼ö
exponential growth Áö¼öÀû Áõ°¡
exponential random variable Áö¼öÈ®·üº¯¼ö
exponential smoothing Áö¼öÆòȰ
exponentially weighted moving average Áö¼ö°¡ÁßÀ̵¿Æò±Õ
expression ½Ä
extension È®Àå
extensive sampling ±¤¿ªÇ¥Áý
exterior ¿ÜºÎ, ¹Ù±ù
exterior point ¿ÜºÎÁ¡, ¹Ù±ùÁ¡
external criterion ¿ÜÀû±âÁØ
external validity ¿ÜÀûŸ´ç¼º
external variance ¿ÜºÎºÐ»ê
externally Studentized residual ¿ÜÀû[¿ÜºÎÀû] ½ºÆ©´øÆ®È­ ÀÜÂ÷
extinction probability Àý¸êÈ®·ü
extrapolation ¿Ü»ð¹ý
extra sum of squares Ãß°¡Á¦°öÇÕ
extremal ±Ø´Ü(ÀÇ)
extremal process ±Ø´Ü°úÁ¤
extremal quotient ±Ø´Ü°ª ºñ
extremal statistic ±Ø´ÜÅë°è·®
exterme value distribution ±Ø´Ü°ªºÐÆ÷
extreme vertices design ²ÀÁöÁ¡¼³°è

F-distribution F ºÐÆ÷
F-test F °ËÁ¤[°ËÁõ]
face graph ¾ó±¼±×·¡ÇÁ
factor ÀÎÀÚ, ¿äÀÎ, Àμö
factor analysis ÀÎÀںм®
factor level ÀÎÀÚ¼öÁØ
factor loading ÀÎÀÚÀûÀç(°ª)
factor pattern ÀÎÀÚÆÐÅÏ
factor rotation ÀÎÀÚȸÀü
factor score ÀÎÀÚÁ¡¼ö
factorization theorem ÀμöºÐÇØÁ¤¸®
failure analysis °íÀåºÐ¼®
failure mode °íÀå¸ðµå, °íÀåÇüÅÂ
failure rate °íÀå·ü
fair game °øÁ¤°ÔÀÓ
false alarm ¿À°æº¸
family ¸ðÀÓ, Á·
family of distributions ºÐÆ÷Á·, ºÐÆ÷¸ðÀÓ
fast Fourire transform[FFT] ºü¸¥ Ǫ¸®¿¡ º¯È¯
fatality rate »ç¸Á·ü, Ä¡»çÀ²
Fatou`s lemma ÆÄÅä¿ìÀÇ º¸Á¶Á¤¸®
feasible soiution ½ÇÇö°¡´ÉÇØ
Fellegi`s method Æç·¹ÁöÀÇ ¹æ¹ý
female reprodution rate ¿©¼ºÀÇ Àç»ý»ê·ü
Fermi-Dirac ststistics Æä¸£¹Ì-µð¶ô Åë°è
Ferreri distribution Æä·¹¸® ºÐÆ÷
fertility (in demography) Ãâ»ê·Â, ºñ¿Áµµ
fetal death žƻç¸Á
fiducial distribution ½Å·ÚºÐÆ÷
fiducial inference ½Å·ÚÃß·Ð
fiducial interval ½Å·Ú±¸°£
fiducial limit ½Å·ÚÇѰè
field Àå, ü, ¸¶´ç
field experiment ÇöÁö½ÇÇè, ÇöÀå½ÇÇè
field survey ÇöÁöÁ¶»ç, ½Ç»ç
Fiell`s theorem ÇÇ¿¤·¯ÀÇ Á¤¸®
figure µµÇü, ±×¸²
file ÆÄÀÏ
filter ÇÊÅÍ
finite À¯ÇÑ
finite correction À¯ÇѼöÁ¤
finite difference À¯ÇÑÂ÷ºÐ
finite Markov chain À¯ÇѸ¶¸£ÄÚÇÁ ¿¬¼â
finite measure À¯ÇÑÃøµµ
finite population À¯ÇѸðÁý´Ü
finite population correction (factor) À¯ÇѸðÁý´Ü¼öÁ¤(Àμö, Ç×)
finite probability space À¯ÇÑÈ®·ü°ø°£
finite sampling correction À¯ÇÑÇ¥Áý¼öÁ¤
first limit theorem Á¦ 1±ØÇÑÁ¤¸®
first-order approximation ÀÏÂ÷±Ù»ç
first passage time ù Åë°ú½Ã°£
first quartile Á¦ 1 »çºÐÀ§¼ö
first return time ù º¹±Í ½Ã°£
first stage unit Àϴܰè´ÜÀ§
Fisher information ÇǼÅÁ¤º¸
Fisher`s exact test ÇǼÅÀÇ Á¤È®°ËÁ¤[°ËÁõ]
Fisher`s z-transformation ÇǼÅÀÇzº¯È¯
fitted value ÀûÇÕ°ª
five-number summary ´Ù¼¸¼ýÀÚ¿ä¾à, ´Ù¼¸¼öÄ¡¿ä¾à
fixed effect °íÁ¤È¿°ú, ¸ð¼öÈ¿°ú
fixed factor °íÁ¤¿äÀÎ, ¸ð¼ö¿äÀÎ
fixed percent sampling °íÁ¤¹éºÐÀ²Ç¥Áý
fixed point theorem °íÁ¤Á¡Á¤¸®
fixed sample size °íÁ¤Ç¥º»Å©±â
flow chart È帧µµ, ¼ø¼­µµ
fluctuation º¯µ¿
folded contingency table Á¢Èù ºÐÇÒÇ¥
folded distribution Á¢Èù ºÐÆ÷
folding Á¢À½
follow-up survey ÃßÀûÁ¶»ç
force of mortality »ç¸Á·Â
forecasting ¿¹Ãø
formula °ø½Ä, ½Ä
forward difference ÀüÁøÂ÷ºÐ
forward diffusion equation ÀüÁøÈ®»ê¹æÁ¤½Ä
forward equations ÀüÁø¹æÁ¤½Ä
forward selection method ÀüÁø¼±Åùý, º¯¼öÃß°¡¹ý
Fourier analysis Ǫ¸®¿¡ ºÐ¼®
Fourier expansion Ǫ¸®¿¡ Àü°³
Fourier inversion theorem Ǫ¸®¿¡ ¿ªº¯È¯Á¤¸®
Fourier series Ǫ¸®¿¡ ±Þ¼ö
Fourier transformation Ǫ¸®Çì º¯È¯
fractal ÇÁ·¢Å»
fractile ºÐÀ§¼ö
fraction defective ºÒ·®·ü
fractional factorial design ºÎºÐ¿äÀμ³°è
fractional replication ºÎºÐ¹Ýº¹, ÀϺιݺ¹
Frechet distribution ÇÁ·¹¼Î ºÐÆ÷
free response ÀÚÀ¯ÀÀ´ä
freehand method ¸ñÃø¹ý
Freeman -Tukey transformation ÇÁ¸®¸¸-ƩŰ º¯È¯
frequency µµ¼ö[ºóµµ]
frequency curve µµ¼ö[ºóµµ]°î¼±
frequency distribution µµ¼ö[ºóµµ]ºÐÆ÷
frequency function µµ¼ö[ºóµµ]ÇÔ¼ö
frequency of occurrence ÃâÇöµµ¼ö[ºóµµ]
frequency polygon µµ¼ö[ºóµµ]´Ù°¢Çü
Fridedman`s test ÇÁ¸®µå¸¸ÀÇ °ËÁ¤[°ËÁõ]
full informaton ¿ÏÀüÁ¤º¸
full-logarithm chart ¿ÏÀü·Î±× µµÇ¥
fully recursive system ¿ÏÀüµÇÇ®ÀÌ Ã¼°è
function ÇÔ¼ö
function space ÇÔ¼ö°ø°£
functional ¹üÇÔ¼ö
functional analysis ÇÔ¼öÇØ¼®ÇÐ
functional central limit theorem ÇÔ¼öÀû Á߽ɱØÇÑÁ¤¸®
functional relation ÇÔ¼ö°ü°è
fundamental event ±Ùº»»ç°Ç
fundamental form ±Ùº»Çü½Ä
fuzzy clustering ÆÛÁö ±ºÁýÈ­
fuzzy probability space ÆÛÁö È®·ü°ø°£
fuzzy set ÆÛÁö ÁýÇÕ

Gabriel`s test °¡ºê¸®¿¤ÀÇ °ËÁ¤[°ËÁõ]
gain function À̵æÇÔ¼ö
Galois field °¥·ç¾Æ ü
gambler`s ruin µµ¹Ú²ÛÀÇ ÆÄ»ê, µµ¹Ú»çÀÇ ÆÄ»ê
game °ÔÀÓ, ³îÀÌ
game theory °ÔÀÓ ÀÌ·Ð
game coefficient °¨¸¶ °è¼ö
gamma distribution °¨¸¶ºÐÆ÷
gamma function °¨¸¶ ÇÔ¼ö
gamma random variable °¨¸¶ È®·üº¯¼ö
Gantt progress chart °£Æ® ÁøÇàÇ¥
Gart`s test °¡Æ®ÀÇ °ËÁ¤[°ËÁõ]
Gauss-Jordan elimination °¡¿ì½º-Á¶¸£´Ü ¼Ò°Å(¹ý)
Gauss-Markov theorem °¡¿ì½º-¸¶¸£ÄÚÇÁ Á¤¸®
Gauss-Newton method °¡¿ì½º- ´ºÆ° ¹æ¹ý
Gauss-Seidel method °¡¿ì½º- »çÀ̵¨ ¹æ¹ý
Gaussian curve °¡¿ì½º °î¼±
Gaussian density °¡¿ì½º ¹Ðµµ
Gaussian distribution °¡¿ì½º ºÐÆ÷
Gaussian measure °¡¿ì½º Ãøµµ
Gaussian prccess °¡¿ì½º °úÁ¤
Gaussian random variable °¡¿ì½º È®·üº¯¼ö
Geary`s ratio ±â¾î¸®ÀÇ ºñ
gene À¯ÀüÀÚ
general factor ÀϹÝÀÎÀÚ
general inspection level ÀϹݰ˻ç¼öÁØ
generalized additive model ÀϹÝÈ­°¡¹ý¸ðÇü
generalized distribution ÀϹÝÈ­ ºÐÆ÷
generalized inverse matrix ÀϹÝÈ­¿ªÇà·Ä
generalized least squares ÀϹÝÈ­ ÃÖ¼ÒÁ¦°ö
generalized least squares estimator ÀϹÝÈ­ÃÖ¼ÒÁ¦°öÃßÁ¤·®
generalized linear model ÀϹÝÈ­¼±Çü¸ð¾ç
generalized logit model ÀϹÝÈ­ ·ÎÁþ¸ðÇü
generalized variance ÀϹÝÈ­ ºÐ»ê
generating function »ý¼ºÇÔ¼ö
generating set »ý¼ºÁýÇÕ
generator »ý¼º±â
genetic correlation À¯ÀüÀû »ó°ü
genotype À¯ÀüÀÚÇü
geometric average ±âÇÏÆò±Õ
geometric Brownian motion ±âÇÏÀû ºê¶ó¿î ¿îµ¿
geometric distribution ±âÇÏºÐÆ÷
geometric mean ±âÇÏÆò±Õ
geometric probability ±âÇÏÀû È®·ü
geometric sequence µîºñ¼ö¿­
geostatistics Áö±¸Åë°èÇÐ
Gibbs samlper ±é½º Ç¥Áý±â
Gibbs sampling ±é½º Ç¥Áý
Gibrat distribution Áöºê¶óÆ® ºÐÆ÷
Gini`s hypothesis ±â´ÏÀÇ °¡¼³
Glejser`s regression test ±Û·¹Á®ÀÇ È¸±Í°ËÁ¤[°ËÁõ]
Glivenko-Cantelli lemma ±Û¸®º¥ÄÚ-Ä­µ¨¸® º¸Á¶Á¤¸®
global ´ë¿ªÀû, ÀüüÀû
global influence ´ë¿ª¿µÇâ·Â
Gompertz curve °õÆä¸£Ã÷ °î¼±
good leverage point ÁÁÀº Áö·¿´ëÁ¡[Áö·¹Á¡]
Goodman -Kruskal G statistic ±Â¸Ç-Å©·ç½ºÄ® G Åë°è·®
goodness of fit ÀûÇÕµµ
goodness -of-fit test ÀûÇÕµµ°ËÁ¤[°ËÁõ]
grade µî±Þ
gradient ±â¿ï±â, °æ»çµµ
gradient method °æ»ç¹ý
grading µî±ÞÈ­, µî±Þ¸Å±è
Graeco-Latin square ±×·¹ÄÚ-¶óƾ ¹æ°Ý[Á¤¹æ]
Gram-Charlier series ±×·¥-»þ¸®¿¡ ±Þ¼ö
Gram-Schmidt orthogonalization ±×·¥- ½´¹ÌÆ® Á÷±³È­
grand mean ÃÑÆò±Õ
grand total ÃѰè
graph ±×·¡ÇÁ, ±×¸²
graph of broken lines ²ªÀº¼± ±×·¡ÇÁ
graphical analysis ±×·¡ÇÁºÐ¼®
graphical presentation ±×·¡ÇÁÇ¥Çö
graphics ±×·¡ÇȽº
greatest common divisor ÃÖ´ë°ø¾à¼ö
grid ±×¸®µå, °ÝÀÚ¸Á
gross-error sensitivity ´ëÇü¿ÀÂ÷¹Î°¨µµ
group ±×·ì, ±º, Áý´Ü
group divisible ±×·çºÐÇÒ
group divisible design ±×·ë ºÐÇÒ¼³°è
group screening method ±×·ì ¼±º°¹ý
grouped data ±×·ì(È­)ÀÚ·á
grouping ±×·ìÈ­
growth curve ¼ºÀå°î¼±
Gumbel distribution ±Àº§ ºÐÆ÷
Gutman`s scale ±ÂÆ®¸¸ÀÇ Ã´µµ

Hear measure Çϸ£ ôµµ
Hadamard matrix ÇÏ´Ù¸¶µå Çà·Ä
half -Cauchy distribution Àý¹Ý ÄÚ½¬ ºÐÆ÷
half-drill strip Àý¹ÝÆÄÁ¾´ë»ó(Àç¹è¹ý)
half-normal distribution Àý¹Ý Á¤±ÔºÐÆ÷
half -normal probability paper Àý¹ÝÁ¤±ÔÈ®·üÁö
half-plaid square Àý¹Ý°ÝÀÚ¹«´Ì¹æ°Ý[Á¤¹æ]
half-width Àý¹Ý³Êºñ, Àý¹ÝÆø
Hamming ÇØ¹Ö
Hanning ÇØ´×
Hardy -Weinberg law Çϵð-¿ÍÀιö±× ¹ýÄ¢
harmonic analysis Á¶È­ºÐ¼®
harmonic function Á¶È­ÇÔ¼ö
harmonic mean Á¶È­Æò±Õ
harmonic process Á¶È­°úÁ¤
Hartley's test ÇÏÆ®¸®ÀÇ °ËÁ¤[°ËÁõ]
Hartley-Rao scheme ÇÏÆ®¸®-¶ó¿À °èȹ
hat matrix ÇØÆ® Çà·Ä, ¸ðÀÚÇà·Ä
Hayek-Renyi inequality ÇÏÀÌ¿¢-·¹´Ï ºÎµî½Ä
hazard À§Çè
hazard function À§ÇèÇÔ¼ö
hazard rate À§Çè·ü
heavy-tailed distribution µÎ²¨¿î ²¿¸®ºÐÆ÷
Hellinger distance Ç︵°Å °Å¸®
Helmert criterion Çï¸ÓÆ® ±âÁØ
Helmert distribution Çï¸ÓÆ® ºÐÆ÷
Helmert transformation Çï¸ÓÆ® º¯È¯
heptagonal design Ä¢°¢Çü¼³°è
heritability À¯Àü·Â
Hermite distribution ¿¡¸£¹ÌÆ® ºÐÆ÷
Hermite interpolation ¿¡¸£¹ÌÆ® º¸°£(¹ý)
Hermitian form ¿¡¸£¹ÌÆ®ÀÇ Çü½Ä
Hermitian matrix ¿¡¸£¹ÌÆ® Çà·Ä
Hessian Çì½Ã¾È
heterogeneity ÀÌÁú¼º
heterogeneous ÀÌÁúÀû
heterograde °è·®Çü
heteroscedasticity À̺л꼺
heterosis ÀâÁ¾°­¼¼
heterozygote ÀÌÇüÁ¢ÇÕü
heuristic method ¹ß°ßÀû ¹æ¹ý
hexagonal design À°°¢Çü¼³°è
hierarchical À§°èÀû, °èÃþÀû
hierarchical classification À§°èÀû ºÐ·ù, °èÃþÀû ºÐ·ù
hierarchical clusteriong À§°èÀû ±ºÁýÈ­, °èÃþÀû ±ºÁýÈ­
hierarchical model À§°è¸ðÇü, °èÃþ¸ðÇü
highest posterior density interval ÃÖ°í»çÈĹеµ±¸°£
hinge °æÃ¸
histogram È÷½ºÅä±×·¥, ±âµÕ±×¸²Ç¥
historical series ¿ª»çÀû °è¿­
historigram º¯ÃµÇ¥
hit ratio ¸íÁß·ü
Hodges-Ajne's test ÇÖÁö½º-¿¡À̳×ÀÇ °ËÁ¤[°ËÁõ]
Hodges bivariate sign test ÇÖÁö½º À̺¯·® ºÎÈ£°ËÁ¤[°ËÁõ]
Hodges-Lehmann estimator ÇÖÁö½º-·¹¸¸ ÃßÁ¤·®
Hoeffding statistic È£¿¡ÇÁµù Åë°è·®
Hollander's parallelism test Ȧ·£´õÀÇ ÆòÇ༺ °ËÁ¤[°ËÁõ]
Hollander-Proschan test Ȧ·£´õ-ÇÁ·Î¼¢ °ËÁ¤[°ËÁõ]
Holt's method ȦƮÀÇ ¹æ¹ý
homogeneity µ¿Áú¼º
homogeneous µ¿ÁúÀû
homograde °è¼öÇü
homology »óµ¿¼º, È£¸ô·ÎÁö
homoscedastic µîºÐ»êÀû
homoscedasticity µîºÐ»ê¼º
homozygote µ¿ÇüÁ¢ÇÕü
Horvitz-Thompson estimator È£¸£ºñÃ÷-Åè½¼ ÃßÁ¤·®
Hotelling's T2 È£µ¨¸µÀÇ T2
household income °¡°è¼Òµæ
Householder transform ÇϿ콺Ȧ´õ º¯È¯
housing census ÁÖÅÃÃÑÁ¶»ç, ÁÖÅà ¼¾¼­½º
housing unit ÁÖÅÃ
Huber's M-estimator ÈĹöÀÇ M ÃßÁ¤·®
Hunt-Stein theorem Ç寮-½´Å¸ÀÎ Á¤¸®
hypergeometric distribution ÃʱâÇÏºÐÆ÷
hyper Graeco-Latin square design ±×·¹ÄÚ-¶óƾ ¹æ°Ý[Á¤¹æ]¼³°è
hypernormal dispersion ÃÊÁ¤±Ô»êÆ÷
hypernormality ÃÊÁ¤±Ô¼º
hyperplane ÃÊÆò¸é
hyper spherical normal distribution Ãʱ¸Çü Á¤±ÔºÐÆ÷
hypothesis °¡¼³
hypothesis testing °¡¼³°ËÁ¤[°ËÁõ]

idempotent ¸èµî(ÀÎ), Á¦°öÀÌ °°Àº
idempotent matrix ¸èµîÇà·Ä
identifiability ½Äº°¼º
identification ½Äº°
identification problem ½Äº°¹®Á¦
identity Ç×µî½Ä, Ç×µî¿ø, ´ÜÀ§¿ø¼Ò
identity element Ç×µî¿ø¼Ò, ´ÜÀ§¿ø¼Ò
identity matrix Ç×µîÇà·Ä, ´ÜÀ§Çà·Ä
identity transformation Ç׵ȯ
iff ÇÊ¿äÃæºÐÁ¶°Ç±âÈ£
ill-conditioned ºÒ·®»óÅÂÀÇ, ¾ÇÁ¶°ÇÀÇ
illusory correlation ȯ¿µ »ó°ü
image »ó, ¿µ»ó
image analysis ¿µ»óºÐ¼®
imbedded process / embedded process ³¢¿ö³ÖÀº °úÁ¤, ³¢¿öÁø °úÁ¤
imbedding /embedding ³¢¿ö³Ö±â
implicit form ³»ÀçÀû ÇüÅÂ
implicit function À½ÇÔ¼ö, ³»ÀçÀû ÇÔ¼ö
implicit solution À½ÀûÀÎ ÇØ, ³»ÀçÀû ÇØ  
implicit strata ³»ÀçÃþ
implicitly defined function À½Àû Á¤ÀÇÇÔ¼ö, ³»ÀçÀû Á¤ÀÇÇÔ¼ö
importance sampling ÁÖÇ¥Áý, Áß¿äºÎÇ¥Áý, Á߿䵵ǥÁý
improper distribution ºÎÀûÀýºÐÆ÷, °¡ºÐÆ÷
improper solution ºÎÀûÀýÇØ
imputation ´ëÄ¡(¹ý)
in control °ü¸®»óÅÂ
inadmissibility Çã¿ëºÒ°¡´É¼º
inadmissible estimator Çã¿ëºÒ°¡ÃßÁ¤·®
inbreeding ±ÙÄ£±³¹è
incidence matrix µû¸§Çà·Ä
incident rate ¹ß»ý·ü
incidental parameter µû¸§¸ð¼ö
includence test Æ÷ÇÔ°ü°è°ËÁ¤[°ËÁõ]
income distribution ¼ÒµæºÐÆ÷
incomplete beta function ºÒ¿ÏÀü º£Å¸ÇÔ¼ö
incomplete block ºÒ¿Ïºñ ºí·Ï
incomplete block design ºÒ¿Ïºñ ºí·Ï ¼³°è
incomplete gamma function ºÒ¿ÏÀü °¨¸¶ ÇÔ¼ö
incomplete Latin spuare ºÒ¿Ïºñ ¶óƾ ¹æ°Ý[Á¤¹æ]
inconsistent equations ±ÙÀ» °®Áö ¾Ê´Â ¿¬¸³¹æÁ¤½Ä
inconsistent estimator ºÒÀÏÄ¡ÃßÁ¤·®
increasing Áõ°¡(ÇÏ´Â)
increasing failure rate Áõ°¡°íÀå·ü  
increasing function Áõ°¡ÇÔ¼ö
increasing hazard rate Áõ°¡À§Çè·ü
increasing index Áõ°¡ÁöÇ¥
increasing stress Áõ°¡½ºÆ®·¹½º
increment ÁõºÐ
indecomposable  ºÐÇØºÒ°¡´É  
indefinite integral ºÎÁ¤ÀûºÐ
independence µ¶¸³¼º
independent event µ¶¸³»ç°Ç
independent increment µ¶¸³ ÁõºÐ
independent random variables µ¶¸³ÀÎ È®·üº¯¼öµé
independent sample µ¶¸³Ç¥º»
independent trial µ¶¸³½ÃÇà
independent variable µ¶¸³º¯¼ö
independently and indentically distributed µ¶¸³(Àû)ÀÌ¸ç °°Àº ºÐÆ÷¸¦ µû¸£´Â
index(number) Áö¼ö
index of seasonal variation °èÀýº¯µ¿Áö¼ö
indicator ÁöÇ¥, Ç¥½ÃÀÚ
indicator function Ç¥½ÃÇÔ¼ö
indifference ¹«Â÷º°, Â÷À̾øÀ½
indifferent zone ¹«Â÷º°±¸¿ª, Â÷À̾ø´Â ±¸¿ª
indirect assay °£Á¢½ÃÇè, °£Á¢»ý°Ë
indirect effect °£Á¢È¿°ú
indirect observation °£Á¢°üÃø
indirect sampling °£Á¢Ç¥Áý
indirect survey °£Á¢Á¶»ç
individual ergodic theorem °³º° ¿¡¸£°íµñ Á¤¸®  
individual index number °³º°Áö¼ö
individual price index °³º°°¡°ÝÁö¼ö
individual quantity index °³º°¼ö·®Áö¼ö
induction ±Í³³
inductive behavior ±Í³³Àû Çൿ [ÇàÀ§]
inductive definition ±Í³³Àû Á¤ÀÇ
inductive inference ±Í³³Àû Ãß·Ð
industrial classification »ê¾÷ºÐ·ù
inefficient statistic ºñÈ¿À²Åë°è·®
inequality ºÎµî½Ä
inequality coefficient ºÒÆòµî°è¼ö
infant mortality rate À¯¾Æ»ç¸Á·ü
infective inoculation rate °¨¿°Á¢Á¾À²
inference Ãß·Ð, Ã߸®
infimum ÇÏÇÑ, ÃÖ´ëÇϰè
infinite ¹«ÇÑ, ¹«ÇÑ´ë
infinite decimal ¹«ÇѼҼö
infinite dimension ¹«ÇÑÂ÷¿ø
infinite limit ¹«ÇѱØÇÑ
infinite population ¹«ÇѸðÁý´Ü
infinite sequence ¹«ÇѼö¿­
infinite series ¹«Çѱ޼ö
infinite set ¹«ÇÑÁýÇÕ
infinitely divisible ¹«ÇѺÐÇØ°¡´É(ÇÑ)
infinitesimal ¹«ÇѼÒ
infinitesimal birth rate ¹«ÇѼÒÃâ»ý·ü
infinitesimal death rate ¹«ÇѼһç»ý·ü
infinity ¹«ÇÑ´ë
inflation factor ÆØÃ¢Àμö, ÆØÃ¢¿äÀÎ
inflection point º¯°îÁ¡
influence curve ¿µÇâ(·Â)°î¼±
influence function ¿µÇâ(·Â)ÇÔ¼ö
influential observation ¿µÇâ(Àû)°üÃø, ÁÖ¿µÇâ°üÃø
information Á¤º¸
information matrix Á¤º¸Çà·Ä
information source Á¤º¸¿ø
informative prior distribution Á¤º¸Àû »çÀüºÐÆ÷
inherent bias ³»ÀçÆíÇâ
initial condition ÃʱâÁ¶°Ç
initial failure period Ãʱâ°íÀå±â°£
initial point ÃʱâÁ¡, óÀ½Á¡
initial value ÃʱⰪ
injection ´Ü»ç, ÀÏ´ëÀÏ»ç»ó
inner array ³»Ãø¹è¿­
inner fence ¾È¿ïŸ¸®
inner measure ³»Ãøµµ
inner product ³»Àû, ½ºÄ®¶ó°ö
input ÀÔ·Â
input/output process ÀÔÃâ·Â°úÁ¤
inquiry Áú¹®Á¶»ç
inspection °Ë»ç
inspection diagram  °Ë»ç ´ÙÀ̾Ʊ׷¥, °Ë»çµµÇ¥  
inspection lot °Ë»ç·ÎÆ®
instantaneous death rate ¼ø°£»ç¸Á·ü
instantaneous rate of change  ¼ø°£º¯È­À²
instantaneous state ¼ø°£»óÅÂ
instrumental variable µµ±¸º¯¼ö
integer Á¤¼ö
integer programming Á¤¼ö°èȹ(¹ý)
integrable ÀûºÐ°¡´É(ÇÑ)
integrable function ÀûºÐ°¡´ÉÇÔ¼ö
integral ÀûºÐ
integral equation ÀûºÐ¹æÁ¤½Ä
integrand ÇÇÀûºÐÇÔ¼ö
integrated data ´©Àûµ¥ÀÌÅÍ, ÅëÇÕÀÚ·á
integrated moving average ´©ÀûÀ̵¿Æò±Õ
integrated spectrum ´©Àû ½ºÆåÆ®·³
integrated squared error ÀûºÐÁ¦°ö¿ÀÂ÷
integration ÀûºÐ
integration by parts ºÎºÐÀûºÐ
integration by substitution ġȯÀûºÐ
integration constant ÀûºÐ»ó¼ö
intensity °­µµ
intensity function °­µµÇÔ¼ö
intensive sampling ÁýÁßÇ¥Áý
interaction »óÈ£ÀÛ¿ë, ±³È£ÀÛ¿ë
interaction component »óÈ£Àۿ뼺ºÐ
interaction effect »óÈ£ÀÛ¿ëÈ¿°ú
interarrival time µµÂø°£°Ý½Ã°£
interblock ºí·Ï°£
interblock estimation ºí·Ï°£ ÃßÁ¤
intereblock recovery of information ºí·Ï°£ Á¤º¸º¹±¸
interblock variance ºí·Ï°£ ºÐ»ê
intercept ÀýÆí
interchange ±³È¯
interchange theorem ±³È¯Á¤¸®
interclass correlation ±Þ°£»ó°ü, °è±Þ°£»ó°ü
interclass variance ±Þ°£ºÐ»ê, °è±Þ°£ºÐ»ê
interdecile range ½ÊºÐÀ§(°£)¹üÀ§
interior ³»ºÎ, ¾ÈÀÇ
interior point ³»ºÎÁ¡, ¾ÈÂÊ Á¡
intermediate value theorem Áß°£°ªÁ¤¸®, »çÀ̰ªÁ¤¸®
internal consiastency ³»Àû ÀÏÄ¡µµ
internal validity ³»Àû Ÿ´ç¼º
internally Studentized residual ³»Àû [³»ºÎÀû]½ºÆ©´øÆ®È­ÀÜÂ÷  
interpenetrating sample »óÈ£°üÀÔÇ¥º»
interpoaltion º¸°£
interquartile range »çºÐÀ§(°£) ¹üÀ§
interrater reliability ÆòÁ¤ÀÚ°£ ½Å·Úµµ
interruption °£¼·, Áß´Ü
intersection ±³ÁýÇÕ
interval ±¸°£
interval distribution ±¸°£ºÐÆ÷
interval estimation ±¸°£ÃßÁ¤
interval scale ±¸°£Ã´µµ
intervention analysis °³ÀԺм®
intervention effect °³ÀÔÈ¿°ú
interview ¸éÁ¢
interviewer ¸éÁ¢ÀÚ, ¸éÁ¢¿ø
interviewer bias ¸éÁ¢ÀÚÆíÇâ
intrablock ºí·Ï³»
interblock estimation ºí·Ï³»ÃßÁ¤
intraclass correlation ±Þ³»»ó°ü
intraclass ratio ±Þ³»ºñ
intraclass variance ±Þ³»ºÐ»ê
intrinsic accuracy ³»ÀçÁ¤È®µµ, °íÀ¯Á¤È®µµ
invariance ºÒº¯¼º
invariance principle ºÒº¯¼º¿ø¸®
invariant ºÒº¯·®, ºÒº¯½Ä, ºÒº¯
invariant estimator ºÒº¯ÃßÁ¤·®
inventory model  Àç°í¸ðÇü
inverse element ¿ª¿ø(¼Ò)
inverse estimation ¿ªÃßÁ¤
inverse function ¿ªÇÔ¼ö
inverse Gaussian distribution ¿ª °¡¿ì½º ºÐÆ÷
inverse image ¿ª»ó
inverse interpolation ¿ªº¸°£(¹ý)
inverse matrix ¿ªÇà·Ä
inverse moment ¿ªÀû·ü
inverse multinomial sampling ¿ª´ÙÇ×Ç¥Áý
inverse normal distribution ¿ªÁ¤±ÔºÐÆ÷
inverse normal scores test ¿ªÁ¤±ÔÁ¡¼ö°ËÁ¤[°ËÁõ]
inverse polynomial ¿ª´ÙÇ×½Ä
inverse probability ¿ªÈ®·ü
inverse regression ¿ªÈ¸±Í
inverse sampling ¿ªÇ¥Áý
inverse serial correlation ¿ª°è¿­»ó°ü
inverse sine transformation ¿ª »çÀÎ º¯È¯
inverse transform ¿ªº¯È¯
inversion ¹ÝÀü
invertibility °¡¿ª¼º
invertible linear transformation °¡¿ª¼±Çüº¯È¯
invertible matrix °¡¿ªÇà·Ä
invertible transformation °¡¿ªº¯È¯
inverstment coefficient ÅõÀÚ°è¼ö
inverstment multiplier ÅõÀڽ¼ö
irrational number ¹«¸®¼ö
irreducible ±â¾à, ³ª´­ ¼ö ¾ø´Â
irreducible element ±â¾à¿ø
irreducible Markov chain ±â¾à ¸¶¸£ÄÚÇÁ ¿¬¼â
irregularity ºñÁ¤Ä¢¼º
Irwin distribution ¾î¿ø ºÐÆ÷
iso -cost line µîºñ¿ë¼±
isokurtosis µî÷µµ
isolated system °í¸³ ½Ã½ºÅÛ
isolines µîÄ¡¼±
isometric chart µî°Å¸®µµÇ¥
isometric mapping µî°Å¸®»ç»ó
isometric transformation µî°Å¸® º¯È¯
isometry µî°Å¸®
isomorphism µ¿Çü»ç»ó
isotonic function µîÀ§ÇÔ¼ö, ¼ø¼­º¸Á¸ÇÔ¼ö
isotonic regression function µîȸ±ÍÇÔ¼ö
isotropic distribution µî¹æºÐÆ÷
isotropy µî¹æ¼º
item ¹®Ç×, Ç׸ñ
item analysis ¹®Ç׺м®
item characteristic curve ¹®Çׯ¯¼º°î¼±
item response theory ¹®Ç×¹ÝÀÀÀÌ·Ð
iterated integral ¹Ýº¹ÀûºÐ
iterated linear interpolation ¹Ýº¹¼±Çüº¸°£(¹ý)
iterated logarithm ¹Ýº¹ ·Î±×[´ë¼ö]
interated proportional fitting ¹Ýº¹ºñ·ÊÀûÇÕ
iteration ¹Ýº¹, µÇÇ®ÀÌ
iteration method ¹Ýº¹¹ý
iteration trial ¹Ýº¹½ÃÇà
iterative improvement ¹Ýº¹Çâ»ó
iterative method ¹Ýº¹¹ý
iteratively reweighted least squares ¹Ýº¹Àç°¡ÁßÃÖ¼ÒÁ¦°ö

J-shaped distribution JÇü ºÐÆ÷
Jackknife À質ÀÌÇÁ
Jacobian ¾ßÄÚºñ¾È, ¾ßÄÚºñ Çà·Ä½Ä
Jacobian determinant ¾ßÄÚºñÀÇ Çà·Ä½Ä  
James-Stein estimator Á¦ÀÓ½º-½ºÅ¸ÀÎ ÃßÁ¤·®
Jensen's inequality Á¨¼¾ÀÇ ºÎµî½Ä
joint density °áÇչеµ
joint distribution °áÇÕºÐÆ÷
joint frequency °áÇÕµµ¼ö[ºóµµ]
joint independence ¼­·Î µ¶¸³, »óÈ£µ¶¸³
joint moment °áÇÕÀû·ü
joint point Á¢Á¡
joint probability density function °áÇÕÈ®·ü¹ÐµµÇÔ¼ö
joint probability distribution °áÇÕÈ®·üºÐÆ÷
joint regression °áÇÕȸ±Í
joint sufficiency °áÇÕÃæºÐ¼º
jointly continuous °øµ¿¿¬¼Ó, ¿¬´ë¿¬¼Ó
Jonckheere's K-sample test ÁÔŰ¾îÀÇ k Ç¥º» °ËÁ¤[°ËÁõ]
Jordan's identity Á¶¸£´ÜÀÇ Ç×µî½Ä
judgement sampling ÆÇ´ÜÇ¥Áý
jump function ¶ÜÇÔ¼ö, µµ¾àÇÔ¼ö
jump probability ¶ÜÈ®·ü, µµ¾àÈ®·ü
just identified ÀûÁ¤½Äº°

K-class estimator K±Þ ÃßÁ¤·®
K-sample problem K Ç¥º»¹®Á¦
Kagan-Linnik-Rao theorem Ä«°£-¸®´Ð-¶ó¿À Á¤¸®
Kalman filter Ä®¸¸ ÇÊÅÍ
Kaplan-Meier esteimator Ä«Çöõ-¸¶À̾î ÃßÁ¤·®
Kandall's rank correlation ÄË´ÞÀÇ ¼øÀ§»ó°ü
Kandall's tau ÄË´ÞÀÇ Å¸¿ì
kernel ÇÙ
kernel estimator ÇÙÃßÁ¤·®
kernel function ÇÙÇÔ¼ö
key renewal theorem Çٽɰ»½ÅÁ¤¸®
Khintchine's inequality ŲģÀÇ ºÎµî½Ä
Kiefer-Wolfowitz process ŰÆÛ-¿ùÆ÷ºñÃ÷ °úÁ¤
K-means clustering k Æò±Õ ±ºÁýÈ­
knot ¸Åµì
known quantity ±âÁö¼ö, ¾Ë·ÁÁø ¾ç
known term ±âÁöÇ×, ¾Ë·ÁÁø Ç×
Kolmogorov axiom Äݸð°í·ÎÇÁ °ø¸®
Kolmogorov equation Äݸð°í·ÎÇÁ ¹æÁ¤½Ä
Kolmogorov's backward equation Äݸð°í·ÎÇÁÀÇ ÈÄÁø¹æÁ¤½Ä
Kolmogorov's forward equation Äݸð°í·ÎÇÁÀÇ ÀüÁø¹æÁ¤½Ä
Kolmogorov-Smirnov test Äݸð°í·ÎÇÁ-½º¹Ì¸£³ëÇÁ °ËÁ¤[°ËÁõ]
KOSIS Åë°èÁ¤º¸½Ã½ºÅÛ[Korean Statistical Information System]
kriging Å©¸®±ë
Kronecker delta Å©·Î³×Ä¿ µ¨Å¸
Kronecker product Å©·Î³×Ä¿ °ö
Kruskal statistic Å©·ç½ºÄ® Åë°è·®
Kruskal-Wallis test Å©·ç½ºÄ®-¿Ð¸®½º °ËÁ¤
Kuder-Richardson formula Äí´õ-¸®Â÷µå½¼ °ø½Ä
Kullback-Leibler information number Äð¹é-¶óÀÌºí·¯ Á¤º¸¼ö
kurtosis ÷µµ, »ÏÁ·ÇÑ Á¤µµ, »ÏÁ·ÇÔ

L-statistic L Åë°è·®
L-test L °ËÁ¤[°ËÁõ]
L1-estimator L1 ÃßÁ¤·®
labor cost ³ëµ¿ºñ¿ë
labor force ³ëµ¿·Â
labor force statistics ³ëµ¿·ÂÅë°è
labor force survey ³ëµ¿·ÂÁ¶»ç
lack of fit ÀûÇÕ(¼º)°á¿©
lack of memory ¹«±â¾ï¼º
ladder variable »ç´Ù¸®º¯¼ö
lag ½ÃÂ÷
lag correlation ½ÃÂ÷»ó°ü
lag covariance ½ÃÂ÷°øºÐ»ê
lag distribution ½ÃÂ÷ºÐÆ÷
lag effect ½ÃÂ÷È¿°ú
lag operator ½ÃÂ÷¿¬»êÀÚ
lag regression ½ÃÂ÷ȸ±Í
lagred variable ½ÃÂ÷º¯¼ö
Lagrange multiplier ¶ó±×¶ûÁî ½Â¼ö
Lagrangian function ¶ó±×¶ûÁî ÇÔ¼ö
Laguerre polynomial ¶ó°Ô¸£ ´ÙÇ×½Ä
lambda-criterion ¶÷´Ù ±âÁØ
Laplace distribution ¶óÇÃ¶ó½º ºÐÆ÷  
Laplace transform  ¶óÇÃ¶ó½º º¯È¯
Laplace-Levy theorem ¶óÇöó½º-·¹ºñ Á¤¸®
large sample ´ëÇ¥º»
large sample approximation ´ëÇ¥º»±Ù»ç
large sample theory ´ëÇ¥º»ÀÌ·Ð
Laspeyres' index ¶ó½ºÆÄÀÌ·¹½º Áö¼ö
latent structure ÀáÀ籸Á¶
latent variable ÀáÀ纯¼ö
Latin cube ¶óƾÀÔ¹æÃ¼, ¶óƾ Á¤À°¸éü
Latin rectangle ¶óƾ »ç°¢Çü
Latin square ¶óƾ ¹æ°Ý[Á¤¹æ, Á¤»ç°¢Çü]
Latin square design ¶óƾ ¹æ°Ý[Á¤¹æ]¼³°è
lattice °ÝÀÚ
lattice design °ÝÀÚ¼³°è
lattice distribution °ÝÀÚºÐÆ÷
lattice random variable °ÝÀÚÈ®·üº¯¼ö
lattice sampling °ÝÀÚÇ¥Áý
law ¹ýÄ¢, ºÐÆ÷
law of iterated logarithm ¹Ýº¹ ·Î±× ¹ýÄ¢
law of large numbers ´ë¼öÀÇ ¹ýÄ¢, Å« ¼öÀÇ ¹ýÄ¢
lead time ¼±Çà½ÃÂ÷, ¼±Çà½Ã°£, ¼±½ÃÂ÷
leading diagonal ÁÖ´ë°¢(¼±)
leading indicator ¼±ÇàÁöÇ¥
least absolute deviation estimator ÃÖ¼ÒÀý´ëÆíÂ÷ÃßÁ¤·®
least favorable ÃÖ¼Ò¿ìÈ£(Àû)
least median of squares [LMS] ÃÖ¼ÒÁßÀÇÁ¦°ö, ÃÖ¼Ò ¸Þµð¾È Á¦°ö
least significant difference test ÃÖ¼ÒÀ¯ÀÇÂ÷°ËÁ¤[°ËÁõ]
least square approximation ÃÖ¼ÒÁ¦°ö±Ù»ç
least squares estimate ÃÖ¼ÒÁ¦°öÃßÁ¤°ª
least squares method ÃÖ¼ÒÁ¦°ö¹ý
least squares smoothing ÃÖ¼ÒÁ¦°öÆòȰ
least trimmed squares [LTS] ÃÖ¼ÒÀý»çÁ¦°ö
Lebesgue integral ¸£º£±× ÀûºÐ
left derivative Á¹̺аè¼ö, ¿ÞÂʹ̺аè¼ö
left-hand limit Á±ØÇÑ, ¿ÞÂʱØÇÑ
left-hand side Áº¯, ¿ÞÂÊ º¯
left invariant measure ÁºҺ¯Ãøµµ, ¿ÞÂʺҺ¯Ãøµµ
Legendre polynomial ¸£Àåµå¸£ ´ÙÇ×½Ä
Lehmann alternative ·¹¸¸ ´ë¸³°¡¼³[´ë¾È]
Lehman's test ·¹¸¸ÀÇ °ËÁ¤[°ËÁõ]
lemma º¸Á¶Á¤¸®, µµ¿òÁ¤¸®, ¿¹ºñÁ¤¸®
leptokurtic ±Þ÷
less or equal ÀÌÇÏ
less than ¹Ì¸¸
L-estimator L ÃßÁ¤·®
lethal dose Ä¡»ç¿ë·®
lethality rate Â÷»çÀ²
letter value display ¹®ÀÚ°ªÀü½Ã
letter values ¹®ÀÚ°ª
level ¼öÁØ
level curve ¼öÁذ
level line ¼öÁؼ±
level map ¼öÁØÁöµµ
level surface ¼öÁظé
leverage Áö·¿´ë, Áö·¹
leverage point Áö·¿´ëÁ¡(Áö·¹Á¡)
leverage value Áö·¿´ë°ª(Áö·¹°ª)
Levy's theorem ·¹ºñÀÇ Á¤¸®
Levy-Cramer theorem ·¹ºñ-Å©·¡¸Ó Á¤¸®
lexicographical order »çÀü½Ä ¼ø¼­
Lexis ratio ·º½Ã½º ºñ
Lexis theory ·º½Ã½º ÀÌ·Ð
Lexis variation ·º½Ã½º º¯µ¿
Liapounov's inequality ¸®¾ÆÇª³ëÇÁÀÇ ºÎµî½Ä
Liapounov's theorem ¸®¾ÆÇª³ëÇÁÀÇ Á¤¸®
life table »ý¸íÇ¥
lifetime ¼ö¸í
lifetime distribution ¼ö¸íºÐÆ÷
likelihood °¡´Éµµ, ¿ìµµ
likelihood function °¡´ÉµµÇÔ¼ö, ¿ìµµÇÔ¼ö
likelihood principle °¡´Éµµ¿ø¸®, ¿ìµµ¿ø¸®
likelihood ratio °¡´Éµµºñ, ¿ìµµºñ
likelihood ratio test °¡´Éµµ[¿ìµµ]ºñ °ËÁ¤[°ËÁõ]
Likert scale ¸®Ä¿Æ® ôµµ
limit ±ØÇÑ, ÇѰè, ±ØÇÑ(°ª)
limit inferior ÇϱØÇÑ
limit of error ¿ÀÂ÷ÀÇ ÇѰè
limit point ±ØÇÑÁ¡, ÁýÀûÁ¡, ½×ÀÎÁ¡
limit superior »ó±ØÇÑ
limited information Á¦ÇÑÁ¤º¸
limiting distribution ±ØÇÑºÐÆ÷
limiting moment generating function ±ØÇÑÀû·ü»ý¼ºÇÔ¼ö
limiting probability ±ØÇÑÈ®·ü
Lindeberg-Feller theorem ¸°µå¹ö±×-Æç¸® Á¤¸®
Lindeberg-Levy theorem ¸°µå¹ö±×-·¹ºñ Á¤¸®
Lindley's integral equation ¸°µé¸®ÀÇ ÀûºÐ¹æÁ¤½Ä
line ¼±, Á÷¼±
line sampling ¼±Ç¥Áý
line spectrum ¼± ½ºÆåÆ®·³
linear  ¼±ÇüÀÇ  
linear approximation ¼±Çü±Ù»ç, ÀÏÂ÷±Ù»ç
linear combination ¼±Çü°áÇÕ
linear constraint ¼±ÇüÁ¦¾à
linear correlation ¼±Çü»ó°ü
linear dependence ¼±ÇüÁ¾¼Ó
linear equation ¼±Çü¹æÁ¤½Ä
linear estimator ¼±ÇüÃßÁ¤·®
linear failure rate distribution ¼±Çü°íÀåÀ²ºÐÆ÷
linear form ¼±ÇüÇü½Ä, ÀÏÂ÷Çü½Ä
linear function ¼±ÇüÇÔ¼ö
linear functional ¼±Çü¹üÇÔ¼ö
linear graph ¼±Çü ±×·¡ÇÁ, ¼±Á¡µµ
linear hypothesis ¼±Çü°¡¼³
linear independence ¼±Çüµ¶¸³¼º
linear interpolation method ¼±Çüº¸°£¹ý
linear mixed model ¼±ÇüÈ¥ÇÕ¸ðÇü
linear model ¼±Çü¸ðÇü
linear operator ¼±Çü¿¬»êÀÚ
linear optimum estimate ¼±ÇüÃÖÀûÃßÁ¤°ª
linear probability model ¼±ÇüÈ®·ü¸ðÇü
linear process ¼±Çü°úÁ¤
linear programming ¼±Çü°èȹ(¹ý)
linear rank statistic ¼±Çü¼øÀ§Åë°è·®
linear regression ¼±Çüȸ±Í
linear regression analysis ¼±Çüȸ±ÍºÐ¼®
linear space ¼±Çü°ø°£
linear structural relation[LISREL] ¼±Çü±¸Á¶°ü°è
linear sufficiency ¼±ÇüÃæºÐ¼º
linear transformation ¼±Çüº¯È¯, ÀÏÂ÷º¯È¯
linear trend ¼±ÇüÃß¼¼
linearization ¼±ÇüÈ­
linearly dependent ¼±ÇüÁ¾¼Ó(ÀÎ)
linearly independent ¼±Çüµ¶¸³(ÀÎ)
link function ¿¬°áÇÔ¼ö
link relative index number ¿¬°á»ó´ëÁö¼ö
linked blocks ¿¬°á ºí·Ï
linked paired comparison design ¿¬°á¦ºñ±³¼³°è
linked sample ¿¬°áÇ¥º»
Lipschitz condition ¸³½¬Ã÷ Á¶°Ç
list sample ¸ñ·ÏÇ¥º»
local ±¹¼ÒÀû
local asymptotic efficiency ±¹¼ÒÁ¡±ÙÈ¿À²¼º
local average ±¹¼ÒÆò±Õ
local control ±¹¼ÒÁ¦¾î
local influence ±¹¼Ò¿µÇ×·Â
local maximum ±Ø´ë, ±¹¼ÒÃÖ´ë
local minimum ±Ø¼Ò, ±¹¼ÒÃÖ¼Ò
local solution ±¹¼ÒÇØ
local statistic ±¹¼ÒÅë°è·®
local truncation error ±¹¼ÒÀý´Ü¿ÀÂ÷
localization ±¹¼ÒÈ­
locally measurable ±¹¼Ò(Àû)°¡ÃøÀÎ
locally most powerful test ±¹¼Ò(Àû)ÃÖ°­·Â °ËÁ¤[°ËÁõ]
locally optimal design ±¹¼Ò(Àû)ÃÖÀû¼³°è
locally weighted scatterplot smoothing ±¹¼Ò°¡Áß»êÁ¡µµÆòȰ
location parameter À§Ä¡¸ð¼ö
location-scale family of distributions À§Ä¡-ôµµ ºÐÆ÷Á·
location shift alternative hypothesis À§Ä¡À̵¿ ´ë¸³[´ë¾È]°¡¼³
location test À§Ä¡°ËÁ¤[°ËÁõ]
logarithm ·Î±×, ´ë¼ö
logarithmic transformation ·Î±× º¯È¯, ´ë¼öº¯È¯
logistic curve ·ÎÁö½ºÆ½ °î¼±
logistic distribution ·ÎÁö½ºÆ½ ºÐÆ÷
logistic function ·ÎÁö½ºÆ½ ÇÔ¼ö
logistic regression ·ÎÁö½ºÆ½ ȸ±Í
logistic transformation ·ÎÁö½ºÆ½ º¯È¯
logit ·ÎÁþ
logit model ·ÎÁþ ¸ðÇü
log-likelihood function ·Î±× °¡´Éµµ ÇÔ¼ö, ·Î±× ¿ìµµÇÔ¼ö
log-linear model ·Î±× ¼±Çü¸ðÇü
log-normal distribution ·Î±× Á¤±ÔºÐÆ÷
lognormal distribution ·Î±× Á¤±ÔºÐÆ÷
lognormal random variable ·Î±× Á¤±ÔÈ®·üº¯¼ö
log-odds ·Î±× ¿ÀÁî
log-rank test ·Î±× ¼øÀ§°ËÁ¤[°ËÁõ]
long tail ±ä²¿¸®
long-term trend Àå±âÃß¼¼, Àå±â°æÇâ
longitudinal survey °æ½ÃÀû[´Ù½ÃÁ¡]Á¶»ç
loop µÇµ¹¸², ´ÝÈù °î¼±
Lorenz curve ·Î·»Ã÷ °î¼±
loss function ¼Õ½ÇÇÔ¼ö
loss matrix ¼Õ½ÇÇà·Ä
lot ·ÎÆ®, ¹«´õ±â
lot inspection ·ÎÆ® °Ë»ç, ¹«´õ±â°Ë»ç
lot number ·ÎÆ® ¹øÈ£, ¹«´õ±â¹øÈ£
lot quality level ·ÎÆ® ǰÁú¼öÁØ
lot quality protection ·ÎÆ® ǰÁúº¸È£
lot tolerance percent defective[LTPD] ·ÎÆ® Çã¿ëºÒ·®·ü
lottery sampling º¹±ÇÃß÷
lower bound ÇÏÇÑ, Çϰè
lower control limit °ü¸®ÇÏÇÑ
lower limit ÇÏ´Ü, ¾Æ·¡³¡, ¾Æ·¡ÇѰè, ÇÏÇÑ
lower set ÇÏÀ§ÁýÇÕ
lurking variable Àẹº¯¼ö

m-dependent m Á¾¼Ó[ÀÇÁ¸]
M-estimation MÃßÁ¤
Maclaurin's expansion ¸ÅŬ·Î¸° Àü°³
magic square ¸¶¹æ°Ý, ¸¶Á¤¹æ
Mahalanobis distance ¸¶ÇÒ¶ó³ëºñ½º °Å¸®
mail survey ¿ìÆíÁ¶»ç
main block ÁÖºí·Ï
main diagonal ÁÖ´ë°¢(¼±)
main effect ÁÖÈ¿°ú
major defect ÁÖ°áÁ¡
management information system[MIS] °æ¿µÁ¤º¸½Ã½ºÅÛ
Mann-Whitney U-test ¸¸-ÈÖÆ®´Ï U°ËÁ¤[°ËÁõ]
Mantel-Haenszel test ¸ÇƲ-ÇÚÿ °ËÁ¤
mapping ȍȗ
marginal category ÁÖº¯¹üÁÖ
marginal classification ÁÖº¯ºÐ·ù
marginal cost ÇѰèºñ¿ë
marginal density function ÁÖº¯¹ÐµµÇÔ¼ö
marginal distribution ÁÖº¯ºÐÆ÷
marginal homogeneity ÁÖº¯µ¿Áú¼º
marginal probability ÁÖº¯È®·ü
marginal probability function ÁÖº¯È®·üÇÔ¼ö
marginal productivity ÇѰè»ý»ê¼º
marginal revenue ÇѰè¼öÀÍ
marginal sum ÁÖº¯ÇÕ
marker status È¥ÀλóÅÂ
marker variable Ç¥½Ãº¯¼ö
market analysis ½ÃÀåºÐ¼®
market basket ½ÃÀå¹Ù±¸´Ï
market survey ½ÃÀåÁ¶»ç
marketing research ¸¶ÄÉÆÃ ¿¬±¸
marketing survey ¸¶ÄÉÆÃ Á¶»ç
Markov chain ¸¶¸£ÄÚÇÁ ¿¬¼â
Markov process ¸¶¸£ÄÚÇÁ °úÁ¤
Markov property ¸¶¸£ÄÚÇÁ ¼ºÁú
marriage rate È¥ÀÎÀ²
Marshall-Olkin distribution ¸¶¼£-¿ÃŲ ºÐÆ÷
martingale ¸¶ÆÃ°ÔÀÏ
masking °¡¸éÈ­, °¨Ãã
masking effect °¡¸éÈ­È¿°ú, °¨ÃãÈ¿°ú
mass ¹«°Ô, Áú·®
master sample ÁÖÇ¥º», ¸¶½ºÅÍ Ç¥º»
matched pair ´ëÀÀ¦
matched pairs design ´ëÀÀ¦¼³°è
matched sampling ¦ǥÁý, ´ëÀÀÇ¥Áý
matching ¦Áþ±â, ´ëÀÀ
matching distribution ´ëÀÀºÐÆ÷
maternal mortality rate ¸ð¼º»ç¸Á·ü
mathematical criminology ¼ö¸®¹üÁËÇÐ
mathematical ecology ¼ö¸®»ýÅÂÇÐ
mathematical expectation ¼öÇÐÀû ±â´ë
mathematical induction ¼öÇÐÀû ±Í³³¹ý
mathematical model ¼ö¸®Àû ¸ðÇü
mathematical probability ¼ö¸®Àû È®·ü
mathematical programming ¼ö¸®°èȹ¹ý
mathematical variable ¼ö¸®Àû º¯¼ö
mating system ±³¹èü°è
matrix Çà·Ä
matrix diagonalization Çà·Ä(ÀÇ) ´ë°¢È­
matrix element Çà·Ä¿ø¼Ò
matrix sampling Çà·ÄÇ¥Áý
maximal invariant ÃÖ´ëºÒº¯(·®)
maximum ÃÖ´ë, ÃÖ´ë°ª
maximum likelihood ÃÖ´ë°¡´Éµµ, ÃÖ´ë¿ìµµ
maximum likelihood estimator ÃÖ´ë°¡´ÉµµÃßÁ¤·®, ÃÖ´ë¿ìµµÃßÁ¤·®
maximum likelihood method ÃÖ´ë°¡´Éµµ¹æ¹ý, ÃÖ´ë¿ìµµ¹ý
Maxwell-Boltzmann statistic ¸Æ½ºÀ£-º¼Ã÷¸¸ Åë°è·®
Maxwell distribution ¸Æ½ºÀ£ ºÐÆ÷
McNemar's test ¸Æ´Ï¸ÓÀÇ °ËÁ¤
mean Æò±Õ
mean absolute error Æò±ÕÀý´ë¿ÀÂ÷
mean convergence Æò±Õ¼ö·Å
mean deviation Æò±ÕÆíÂ÷
mean difference Æò±ÕÂ÷ÀÌ
mean dispersion Æò±Õ»êÆ÷
mean error Æò±Õ¿ÀÂ÷
mean integrated squared error Æò±ÕÀûºÐÁ¦°ö¿ÀÂ÷
mean square approximation Æò±ÕÁ¦°ö±Ù»ç
mean square consistency Æò±ÕÁ¦°öÀÏÄ¡¼º
mean square contingence Æò±ÕÁ¦°ö¿ì¹ß¼º
mean square deviation Æò±ÕÁ¦°öÆíÂ÷
mean square error Æò±ÕÁ¦°ö¿ÀÂ÷
mean squares Æò±ÕÁ¦°ö
mean successive differences Æò±Õ¿¬¼ÓÂ÷ÀÌ
mean time between failures Æò±Õ°íÀå½Ã°£
mean time of recurrence Æò±ÕÀç±Í½Ã°£, Æò±ÕÀç¹ß½Ã°£
mean time to failure Æò±Õ¼ö¸í
mean time to repair Æò±Õ¼ö¸®½Ã°£
mean value Æò±Õ°ª
mean value theorem Æò±Õ°ªÁ¤¸®
measurable °¡ÃøÀÎ, Àê ¼ö ÀÖ´Â
measurable function °¡ÃøÇÔ¼ö
measurable set °¡ÃøÁýÇÕ
measurable space °¡Ãø°ø°£
measurable transformation °¡Ãøº¯È¯
measurable variable °¡Ãøº¯¼ö
measure Ãøµµ
measure of association ¿¬°üµµ, ¿¬°ü¼ºÃøµµ
measure of center Áß½ÉÀÇ Ãøµµ
measure of dispersion »êÆ÷ÀÇ Ãøµµ, »êÆ÷µµ, ÆÛÁüÀÇ Ãøµµ
measure of location À§Ä¡ÀÇ Ãøµµ
measure of skewness ±â¿òÀÇ Ãøµµ, ¿Öµµ
measure of variation º¯µ¿ÀÇ Ãøµµ
measure space Ãøµµ°ø°£
measure zero Ãøµµ°¡ ¿µÀÎ
measurement ÃøÁ¤, Ãø·®
median ÁßÀ§¼ö, Áß¾Ó°ª, Áß°£°ª, ¸Þµð¾È
median absolute deviation ÃæÀ§[Áß°£, ¸Þµð¾È]Àý´ëÆíÂ÷
median control chart ÁßÀ§¼ö°ü¸®µµ
median effective dose ÁßÀ§¼öÈ¿°ú¿ë·®
median line ÁÖÀ§¼±, Áß°£¼±
median polish ÁßÀ§¼ö´Ùµë±â
median test ÁßÀ§¼ö°ËÁ¤[°ËÁõ]
median unbiased ÁßÀ§Àû ºñÆíÇâ(ÀÎ)
membership funtion ¼Ò¼ÓÇÔ¼ö
memoryless property ¹«±â¾ï¼º, ±â¾ïÇÏÁö ¸øÇÏ´Â ¼ºÁú
merge º´ÇÕ, ÇÕº´
mesh ±×¹°ÄÚ
meta-analysis ¸ÞŸºÐ¼®
metameter ¸ÞŸ¹ÌÅÍ
method of elimination ¼Ò°Å¹ý
method of least squares ÃÖ¼ÒÁ¦°ö¹ý
method of moments Àû·ü¹ý, Àû·ü¹æ¹ý
method of streepest ascent [decent] ÃÖ´ë°æ»ç¹ý
metric °è·®(Çü), °Å¸®
metric multidemensional scaling °è·®Çü ´ÙÂ÷¿øÃ´µµ¹ý
midpoint Áß°£Á¡
midrange ¹üÀ§ÀÇ Áß¾Ó
mid-rank Áß°£¼øÀ§
migration ÀÌÁÖ
minimal complete class ÃּҿϺñ·ù
minimal essential completeness ÃÖ¼Òº»ÁúÀû¿Ïºñ¼º
minimal spanning tree ÃÖ¼Ò»ý¼º³ª¹«
minimal sufficient statistic ÃÖ¼ÒÃæºÐÅë°è·®
minimax ¹Ì´Ï¸Æ½º, ÃÖ¼ÒÃÖ´ë
minimax estimation ¹Ì´Ï¸Æ½º ÃßÁ¤
minimax principle ¹Ì´Ï¸Æ½º ¿ø¸®
minimax regret principle ¹Ì´Ï¸Æ½º ÈÄȸ¿ø¸®
minimax strategy ¹Ì´Ï¸Æ½º Àü·«
minimax test ¹Ì´Ï¸Æ½º °ËÁ¤[°ËÁõ]
minimum ÃÖ¼Ò, ÃÖ¼Ò°ª
minimum chi-square estimator ÃÖ¼Ò Ä«ÀÌÁ¦°öÃßÁ¤·®
mnimum deviation ÃÖ¼ÒÆíÂ÷
minimum mean square error estimator ÃÖ¼ÒÆò±ÕÁ¦°ö¿ÀÂ÷ÃßÁ¤·®
minimum variance ÃּҺлê
minimum variance unbiased estimator ÃּҺлêºñÆíÇâÃßÁ¤·®
minimum volum ellipsoid estimator ÃÖ¼ÒºÎÇÇŸ¿øÃ¼ÃßÁ¤·®
Minkowski's inequality ¹ÎÄں꽺ŰÀÇ ºÎµî½Ä
minor (determinant) ¼ÒÇà·Ä½Ä
minor defect °æ°áÁ¡
misclassification ¿ÀºÐ·ù
missing data °áÃøÀÚ·á, ºÐ½ÇÀÚ·á
missing value °áÃø°ª, ºÐ½Ç°ª
mixed conguential method È¥ÇÕÇÕµ¿¹ý
mixed factorial experiment È¥ÇÕ¿äÀνÇÇè
mixed model È¥ÇÕ¸ðÇü
mixed poisson process È¥ÇÕ Æ÷¾Æ¼Û °úÁ¤
mixed regression È¥ÇÕȸ±Í
mixed strategy È¥ÇÕÀü·«
mixing È¥ÇÕ
mixing proportion È¥ÇÕºñÀ²
mixture È¥ÇÕ¹°
mixture distribution È¥ÇÕºÐÆ÷
mixture experiment È¥ÇÕ¹°½ÇÇè
mixture model È¥ÇÕ¹°¸ðÇü
mixture of probability distribution È®·üºÐÆ÷ÀÇ È¥ÇÕ
mixture random variable È¥ÇÕÈ®·üº¯¼ö
modal class ÃÖºó°è±Þ
model ¸ðÇü, ¸ðµ¨
model diagnostics ¸ðÇüÁø´Ü, ¸ðÇü°ËÁø
model identification ¸ðÇü½Äº°
model selection ¸ðÇü¼±ÅÃ
model transformation ¸ðÇüº¯È¯
mode ÃÖºó°ª
mode of distribution ºÐÆ÷ÃÖºó°ª
modified chi-square statistic ¼öÁ¤ Ä«ÀÌÁ¦°öÅë°è·®
modified control limit ¼öÁ¤°ü¸®ÇѰè(¼±)
modified exponential curve ¼öÁ¤Áö¼ö°î¼±
modified Gauss-Newton method ¼öÁ¤ °¡¿ì½º-´ºÆ° ¹æ¹ý
modified Latin square ¼öÁ¤ ¶óƾ¹æ°Ý[Á¤¹æ]
modified Newton-Raphson method ¼öÁ¤ ¶óƾ-¶óÇÁ½¼ ¹æ¹ý
modified normal distribution ¼öÁ¤Á¤±ÔºÐÆ÷
module ¸ðµâ
modulo ¸ðµâ·Î, ¹ý
moment Àû·ü, ¸ð¸àÆ®
moment estimation Àû·üÃßÁ¤
moment generating function Àû·ü»ý¼ºÇÔ¼ö
monitoring ¸ð´ÏÅ͸µ, °¨½Ã
monotone ´ÜÁ¶
monotone convergence theorem ´ÜÁ¶¼ö·ÅÁ¤¸®
monotone decreasing ´ÜÁ¶°¨¼Ò
monotone function ´ÜÁ¶ÇÔ¼ö
monotone increasing ´ÜÁ¶Áõ°¡
monotone likelihood ratio ´ÜÁ¶°¡´Éµµºñ, ´ÜÁ¶¿ìµµºñ
monotone regression ´ÜÁ¶È¸±Í
monotonic function ´ÜÁ¶ÇÔ¼ö
monotonic sequence ´ÜÁ¶¼ö¿­
monotonicity ´ÜÁ¶¼º
Monte Carlo mothod ¸óÅ×Ä®·Î ¹æ¹ý
monthly average ¿ùÆò±Õ
Mood-Brown median test ¹«µå-ºê¶ó¿î ÁßÀ§¼ö°ËÁ¤[°ËÁõ]
Moore-Penrose inverse ¹«¾î-Ææ·ÎÁî ¿ª(Çà·Ä)
morbidity rate ÀÌȯ·ü, Áúº´·ü
morbidity statistic Áúº´Åë°è
Morgenstern distribution ¸ð°Õ½ºÅÏ ºÐÆ÷
mortality rate »ç¸Á·ü
Moses test ¸ðÁ¦½º °ËÁ¤
most efficient estimator ÃÖ´ëÈ¿À²ÃßÁ¤·®
most powerful test ÃÖ°­·Â°ËÁ¤[°ËÁõ]
most selective confidence interval ÃÖ´ë¼±º°½Å·Ú±¸°£
moving annual total À̵¿³âÇÕ°è
moving average À̵¿Æò±Õ
moving average method À̵¿Æò±Õ¹ý
moving average model À̵¿Æò±Õ¸ðÇü
moving frame À̵¿Æ², ¿òÁ÷À̴ Ʋ
moving observer technique À̵¿°üÃøÀÚ±â¹ý
moving range À̵¿¹üÀ§
moving seasonal variation À̵¿°èÀýº¯µ¿
moving total À̵¿ÇÕ°è
moving weight À̵¿°¡Áß°ª
multicenter trial ´Ù±â°ü½ÃÇè
multicollinearity ´ÙÁß°ø¼±¼º
multi-decision problem ´ÙÁß°áÁ¤¹®Á¦
multidimensional ´ÙÂ÷¿ø
multidimensional distribution ´ÙÂ÷¿øºÐÆ÷
multidimensional scaling [MDS] ´ÙÂ÷¿øÃ´µµ¹ý, ´ÙÂ÷¿øÃ´µµÈ­
multi-factor experiment ´Ù¿äÀνÇÇè
multi-level ´Ù¼öÁØ
multilinear process ´ÙÁß¼±Çü°úÁ¤
multimodal distribution ´ÙºÀºÐÆ÷
multinomial distribution ´ÙÇ×ºÐÆ÷
multinomial random variable ´ÙÇ×È®·üº¯¼ö
multinomial theorem ´ÙÇ×Á¤¸®
multinomial trial ´ÙÇ×½ÃÇà
multi-phase sampling ´Ù»óÇ¥Áý
multiple classification ´ÙÁߺзù
multiple comparison ´ÙÁߺñ±³
multiple correlation coefficient ´ÙÁß»ó°ü°è¼ö, Áß»ó°ü°è¼ö
multiple correspondence analysis ´ÙÁß´ëÀÀºÐ¼®
multiple decision method ´ÙÁß°áÁ¤¹æ¹ý
multiple factor analysis ´ÙÁßÀÌÀںм®
multiple integral ÁßÀûºÐ, ´ÙÁßÀûºÐ
multiple linear regression ´ÙÁß¼±Çüȸ±Í, Áß¼±Çüȸ±Í
multiple poisson distribution ´ÙÁß Æ÷¾Æ¼Û ºÐÆ÷
multiple range test ´ÙÁß¹üÀ§°ËÁ¤[°ËÁõ]
multiple regression ´ÙÁßȸ±Í, Áßȸ±Í
multiple smoothing method ´ÙÁ߯òȰ¹ý
multiple stratification ´ÙÁßÃþÈ­
multiple time series ´ÙÁ߽ð迭
multiplication law of probability È®·üÀÇ °ö¼À¹ýÄ¢
multiplicative congruential method ½Â¹ýÀû ÇÕµ¿¹ý, ½Â¹ýÇü ÇÕµ¿¹ý
multiplicative process ½Â¹ý°úÁ¤
multiplicative risk model ½Â¹ýÀ§Çè¸ðÇü
multiplicity Áߺ¹µµ
multiplier ½Â¼ö
multi-stage estimation ´Ù´Ü°èÃßÁ¤
multi-stage sampling ´Ù´Ü°èÇ¥Áý
multistate ´Ù»óÅÂ
multivariate ´Ùº¯·®
multivariate analysis ´Ùº¯·®ºÐ¼®
multivariate analysis of covariance ´Ùº¯·®°øºÐ»êºÐ¼®
multivariate analysis of variance ´Ùº¯·®ºÐ»êºÐ¼®
multivariate binomial distribution ´Ùº¯·®ÀÌÇ×ºÐÆ÷
multivariate distribution ´Ùº¯·®ºÐÆ÷
multivariate exponential distribution ´Ùº¯·®Áö¼öºÐÆ÷
multivariate linear model ´Ùº°·®¼±Çü¸ðÇü
multivariate multinomial distribution ´Ùº¯·®´ÙÇ×ºÐÆ÷
multivariate normal distribution ´Ùº¯·®Á¤±ÔºÐÆ÷
multivariate quality control ´Ùº¯·®Ç°Áú°ü¸®
multivariate regression analysis ´Ùº¯·®È¸±ÍºÐ¼®
multiway factorial design ´Ù¿ø¿äÀμ³°è
multiway table ´Ù¿øÇ¥
mutation µ¹¿¬º¯ÀÌ
mutually exclusive »óÈ£¹è¹Ý(Àû)
mutually independent »óÈ£µ¶¸³(Àû)

natality rate Ãâ»ê·ü
national balance sheet ±¹°¡´ëÂ÷´ëÁ¶Ç¥
natural estimator ÀÚ¿¬ÃßÁ¤·®
natural exponential family ÀÚ¿¬Áö¼öÁ·
natural increase ÀÚ¿¬Áõ°¡
natural parameter ÀÚ¿¬¸ð¼ö
natural parameter space ÀÚ¿¬¸ð¼ö°ø°£
natural selection ÀÚ¿¬¼±ÅÃ
near identification ±ÙÁ¢½Äº°
nearest neighbor distance ÃÖ±ÙÁ¢ÀÌ¿ô°Å¸®
nearest neighbor method ÃÖ±ÙÁ¢ÀÌ¿ô¹æ¹ý
negative À½ÀÇ, ¸¶À̳ʽºÀÇ
negative binomial distribution À½ÀÌÇ×ºÐÆ÷
negative binomial random variable À½ÀÌÇ×È®·üº¯¼ö
negative correlation À½ÀÇ »ó°ü
negative definite À½ÀÇ Á¤(ïÒ)ºÎÈ£, À½Á¤Ä¡
negative definite form À½ÀÇ Á¤ºÎÈ£Çü½Ä, À½Á¤Ä¡Çü½Ä
negative definite matrix À½ÀÇ Á¤ºÎÈ£Çà·Ä, À½Á¤Ä¡Çà·Ä
negative dependence À½ÀÇ ÀÇÁ¸¼º, À½ÀÇ Á¾¼Ó¼º
negative exponential distribution À½Áö¼öºÐÆ÷
negative semi-definite matrix À½ÀÇ ÁØÁ¤ºÎÈ£ Çà·Ä, À½¹ÝÁ¤Ä¡Çà·Ä
negative variation À½ÀÇ º¯µ¿
nested design ÁöºÐ¼³°è
nested hypothesis ³»Æ÷°¡¼³
nested model ³»Æ÷¸ðÇü
net effect ¼øÈ¿°ú
network ³×Æ®¿öÅ©, ¸Á, ȸ·Î¸Á
network model ³×Æ®¿öÅ© ¸ðÇü
neural network ½Å°æ¸Á
new better than used [NBU] »õ°ÍÀÌ Çå°Íº¸´Ù ÁÁÀ½
Newman-Keuls test ´º¸¸-Ä𽺠°ËÁ¤[°ËÁõ]
Newton-Raphson method ´ºÆ°-¶óÇÁ½¼ ¹æ¹ý
Neyman allocation ³×À̸¸ ¹èºÐ
Neyman structure ³×À̸¸ ±¸Á¶
Neyman's factorization theorem ³×À̸¸ÀÇ ºÐÇØÁ¤¸®
Neyman-Pearson lemma ³×À̸¸-ÇǾ º¸Á¶Á¤¸®
Neyman-pearson theory ³×À̸¸-ÇǾ ÀÌ·Ð
nilpotent °ÅµìÁ¦°öÀÌ ¿µÀÎ
node ¸¶µð
noise ÀâÀ½
nominal category ¸í¸ñÇü ¹üÁÖ
nominal size ¸í¸ñÄ¡¼ö
nominal wage index ¸í¸ñÀÓ±ÝÁö¼ö
noncentral ºñÁß½É
noncentral chi-square distribution ºñÁß½É Ä«ÀÌÁ¦°öºÐÆ÷
noncentral F-distribution ºñÁ᫐ FºÐÆ÷
noncentral t-distribution ºñÁ᫐ tºÐÆ÷
noncentral Wishart distribution ºñÁ᫐ À§»þÆ® ºÐÆ÷
noncentrality parameter ºñÁß½É(¼º)¸ð¼ö
nondegenerate ºñÅðÈ­Àû, ÅðÈ­µÇÁö ¾ÊÀº
nondegenerate matrix ºñÅðÈ­Çà·Ä
nondestructive inspection ºñÆÄ±«°Ë»ç
nonhomogeneous Poisson process ºñµ¿ÁúÀû Æ÷¾Æ¼Û °úÁ¤
noninformative distribution ¹«Á¤º¸Àû ºÐÆ÷
nonlinear ºñ¼±Çü
nonlinear filter ºñ¼±Çü ÇÊÅÍ
nonlinear interaction ºñ¼±Çü»óÈ£ÀÛ¿ë
nonlinear least squares method ºñ¼±ÇüÃÖ¼ÒÁ¦°ö¹ý
nonlinear model ºñ¼±Çü¸ðÇü
nonlinear optimization ºñ¼±ÇüÃÖÀûÈ­  
nonlinear programming ºñ¼±Çü°èȹ
nonlinear regression  ºñ¼±Çüȸ±Í  
nonlinearity ºñ¼±Çü¼º
nonmeasurable set ºÒ°¡ÃøÁýÇÕ, Àê ¼ö ¾ø´Â ÁýÇÕ
nonmetric ºñ°è·®Çü
nonmetric multidimensional scaling ºñ°è·®Çü ´ÙÂ÷¿øÃ´µµ¹ý
nonnegative definite ºñÀ½ÀÇ Á¤ºÎÈ£, , ºñÀ½Á¤Ä¡
non-normal ºñÁ¤±Ô
non-normal population ºñÁ¤±Ô¸ðÁý´Ü
nonparametric ºñ¸ð¼öÀû, ºñÆÄ¶ó¹ÌÅÍ(Àû)
nonparametric confidence interval ºñ¸ð¼öÀû ½Å·Ú±¸°£
nonparametric function estimation ºñ¸ð¼öÀû ÇÔ¼öÃßÁ¤
nonparametric inference ºñ¸ð¼öÀû Ãß·Ð, ºñÆÄ¶ó¹ÌÅÍÇü Ãß·Ð
nonparametric method ºñ¸ð¼öÀû ¹æ¹ý, ºñÆÄ¶ó¹ÌÅÍÀû ¹æ¹ý
nonparametric test ºñ¸ð¼öÀû[ºñÆÄ¶ó¹ÌÅÍÀû] °ËÁ¤[°ËÁõ]
nonpositive definite ºñ¾çÀÇ Á¤ºÎÈ£, ºñ¾çÁ¤Ä¡
nonrandom sample ºñÀÓÀÇ Ç¥º»
nonrandomized decision function ºñÀÓÀÇÈ­°áÁ¤ÇÔ¼ö
nonrandomized test ºñÀÓÀÇÈ­°ËÁ¤[°ËÁõ]
nonrecurrent ºñÀç±ÍÀû, ºñÀç¹ß¼º
non-regular estimator ºñÁ¤Ä¢ÃßÁ¤·®
nonresponse ¹«ÀÀ´ä, ¹«¹ÝÀÀ
nonsampling error ºñÇ¥Áý¿ÀÂ÷
nonsingular Á¤Ä¢, ºñƯÀÌ
nonsingular matrix Á¤Ä¢Çà·Ä, ºñƯÀÌÇà·Ä
nontrivial solution ºñÀÚ¸íÇØ, ÀÚ¸íÇÏÁö ¾ÊÀº ÇØ
norm ³ë¸§
normal Á¤±Ô
normal approximation Á¤±Ô±Ù»ç
normal curve Á¤±Ô°î¼±
normal deviate Á¤±ÔÆíÂ÷
normal dispersion Á¤±Ô»êÆ÷
normal distribution Á¤±ÔºÐÆ÷
normal distribution curve Á¤±Ô°î¼±
normal equation Á¤±Ô¹æÁ¤½Ä, Ç¥ÁعæÁ¤½Ä
normal family Á¤±ÔÁ·
normal inspection º¸Åë°Ë»ç
normal population Á¤±Ô¸ðÁý´Ü
normal probability paper Á¤±ÔÈ®·üÁö
normal process Á¤±Ô°úÁ¤
normal random variable Á¤±ÔÈ®·üº¯¼ö
normal score Á¤±ÔÁ¡¼ö
normality Á¤±Ô¼º
normalization Á¤±ÔÈ­
normalized Á¤±ÔÈ­
normalized contrast Á¤±ÔÈ­´ëºñ
normalizing transformation Á¤±ÔÈ­º¯È¯
normed space ³ë¸§ °ø°£
notation Ç¥±â
not greater than ÀÌÇÏ
not less than ÀÌ»ó
not smaller than ÀÌ»ó
n-th order n°è, nÂ÷
n-tuple n¦
nuisance parameter Àå¾Ö¸ð¼ö
null distribution ±Í¹«ºÐÆ÷, ¿µºÐÆ÷
null event ¿µ»ç°Ç, °ø»ç°Ç
null hypothesis ±Í¹«°¡¼³, ¿µ°¡¼³
null matrix ¿µÇà·Ä
null model ¿µ¸ðÇü
null recurrent ¿µÀç±Í, ±Í¹«Àç±Í
null recurrent state ¿µÀç±Í»óÅÂ, ±Í¹«Àç±Í»óÅÂ
null set ¿µÁýÇÕ, °øÁýÇÕ
null space ¿µ°ø°£
null vector ¿µº¤ÅÍ
number theory ¼ö·Ð, Á¤¼ö·Ð
numeral ¼ýÀÚ(ÀÇ)
numerator ºÐÀÚ
numerical ¼öÄ¡(ÀÇ)
numerical analysis ¼öÄ¡ÇØ¼®
numerical calculation ¼öÄ¡°è»ê
numerical differentiation ¼öÄ¡¹ÌºÐ
numerical equation ¼öÄ¡¹æÁ¤½Ä
numerical expression ¼öÄ¡Àû Ç¥Çö
numerical instability ¼öÄ¡Àû ºÒ¾ÈÁ¤(¼º)
numerical integration ¼öÄ¡ÀûºÐ
numerical method ¼öÄ¡Àû ¹æ¹ý
numerical solution ¼öÄ¡ÇØ
Nyquist frequency ´ÏÄû½ºÆ® µµ¼ö[ºóµµ]
Nyquist interval ´ÏÄû½ºÆ® ±¸°£

object °´Ã¼
objective function ¸ñÀûÇÔ¼ö
oblique coordinate »ç±³ÁÂÇ¥
oblique projection »ç±³»ç¿µ
oblique rotation »ç°¢È¸Àü
observable variable °üÃø°¡´Éº¯¼ö
observation °üÃø, °üÃø°³Ã¼
observational error °üÃø¿ÀÂ÷
observational study °üÃø¿¬±¸
occupancy problems Á¡À¯¹®Á¦
occupation Á÷¾÷
occupational classification Á÷¾÷ºÐ·ù, Á÷¹«ºÐ·ù
octiles ÆÈºÐÀ§¼ö
odd function ȦÇÔ¼ö, ±âÇÔ¼ö
odd number Ȧ¼ö
odds ¿ÀÁî, ºñÀ²ºñ, ½Â»ê
odds ratio ¿ÀÁîºñ ½Â»êºñ
of order n nÂ÷ÀÇ, n°èÀÇ
ogive ´©Àûµµ¼ö[ºóµµ]°î¼±
one-sided alternative hypothesis ´ÜÃø´ë¸³[´ë¾È]°¡¼³
one-sided confidence interval ´ÜÃø½Å·Ú±¸°£
one-sided hypothesis ´ÜÃø°¡¼³
one-sided test ´ÜÃø°ËÁ¤[°ËÁõ]
one-step M-estimator Àϴܰè M ÃßÁ¤·®
one-tailed test ÇÑÂʲ¿¸®°ËÁ¤[°ËÁõ]
one-to-one ÀÏ´ëÀÏ
one-to-one crrespondence ÀÏ´ëÀÏ´ëÀÀ
one-to-one function ÀÏ´ëÀÏÇÔ¼ö
one-way layout ÀÏ¿ø¹èÄ¡(¹ý)
onto À§·ÎÀÇ
onto map À§·ÎÀÇ»ç»ó, Àü»ç»ç»ó
open-ended question °³¹æÇüÁú¹®, ÀÚÀ¯ÀÀ´ä Áú¹®
open interval ¿­¸° ±¸°£, °³±¸°£
open neighborhood ¿­¸° ±Ù¹æ
open sequential sampling scheme ¿­¸°[°³]¼øÂ÷Àû Ç¥Áý¼³°è
open set ¿­¸° ÁýÇÕ, °³ÁýÇÕ
operating characteristic ¿î¿µÆ¯¼º, °Ë»çƯ¼º
operating characteristic curve ¿î¿µÆ¯¼º°î¼±, °Ë»çƯ¼º°î¼±
operating characteristic function ¿î¿µÆ¯¼ºÇÔ¼ö, °Ë»çƯ¼ºÇÔ¼ö
operation ¿¬»ê
operational definition ¿î¿ëÁ¤ÀÇ, Á¶ÀÛÁ¤ÀÇ
operations research [OR] ¿î¿ë¿¬±¸, ¿î¿ë°úÇÐ, O.R.
operator ¿¬»êÀÚ, ÀÛ¿ë¼Ò
opinion survey ¿©·ÐÁ¶»ç
opportunity loss ±âȸ¼Õ½Ç
optimal control ÃÖÀûÁ¦ÀÌ
optimal design of experiment ÃÖÀû½ÇÇè¼³°è
optimal gradient method ÃÖÀû°æ»ç¹ý
optimal response condition ÃÖÀû¹ÝÀÀÁ¶°Ç
optimal sample size ÃÖÀûÇ¥º»Å©±â
optimal scaling ÃÖÀûôµµÈ­
optimal score ÃÖÀûÁ¡¼ö
optimal solution ÃÖÀûÇØ
optimal stopping problem ÃÖÀûÁ¤Áö¹®Á¦
optimal stopping rule ÃÖÀûÁ¤Áö±ÔÄ¢
optimality ÃÖÀû¼º
optimization ÃÖÀûÈ­
optimum ÃÖÀû
optimum allocation ÃÖÀû¹èºÐ(¹ý)
optimum linear predictor ÃÖÀû¼±Çü¿¹Ãøº¯¼ö
optimum test ÃÖÀû°ËÁ¤[°ËÁõ]
order ¼ø¼­, °è, Â÷(¼ö)
order preserving function ¼ø¼­º¸Á¸ÇÔ¼ö
order property ¼ø¼­¼ºÁú
order relation ¼ø¼­°ü°è
order restriction ¼ø¼­Á¦¾à
order statistic ¼ø¼­Åë°è·®
ordered alternative hypothesis ¼ø¼­´ë¸³[´ë¾È]°¡¼³
ordered categorization ¼ø¼­¹üÁÖÈ­
ordered n-tuple ¼ø¼­ÀÖ´Â n¦
ordered pair ¼ø¼­½Ö, ¼ø¼­Â¦
ordering ¼ø¼­È­, ¼ø¼­¸Å±è
ordinal data ¼ø¼­ÀÚ·á
ordinal number ¼ø¼­¼ö
ordinal scale ¼ø¼­Ã´µµ
ordinary least squares estimator º¸ÅëÃÖ¼ÒÁ¦°öÃßÁ¤·®
ordinate Á¾ÁÂÇ¥, ¼¼·ÎÁÂÇ¥
oriented straight line À¯ÇâÁ÷¼±
origin ¿øÁ¡
Ornstein-Uhlenbeck process ¿À¸¥½ºÅ¸ÀÎ-¿ì·»º¤ °úÁ¤
orthant probability »çºÐ¸éÈ®·ü
orthogonal Á÷±³
orthogonal array Á÷±³ ¹è¿­
orthogonal basis Á÷±³±âÀú
orthogonal central composite design Á÷±³Áß½ÉÇÕ¼º¼³°è
orthogonal complement  Á÷±³¿©°ø°£  
orthogonal coordinate Á÷±³ÁÂÇ¥
orthogonal decomposition Á÷±³ºÐÇØ
orthogonal design Á÷±³¼³°è
orthogonal function Á÷±³ÇÔ¼ö
orthogonal matrix Á÷±³Çà·Ä
orthogonal polynomial Á÷±³ ´ÙÇ×½Ä
orthogonal polynomial regression Á÷±³´ÙÇ×ȸ±Í
orthogonal projection Á¤»ç¿µ, Á÷±³»ç¿µ
orthogonal projection matrix Á¤»ç¿µÇà·Ä, Á÷±³»ç¿µÇà·Ä
orthogonal regression Á÷±³È¸±Í
orthogonal rotation Á÷±³È¸Àü
orthogonal set Á÷±³ÁýÇÕ
orthogonal square Á÷±³¹æ°Ý, Á÷±³Á¤¹æ
orthogonal system Á÷±³Ã¼°è
orthogonal transformation Á÷±³º¯È¯
orthogonality Á÷±³¼º
orthogonality relation Á÷±³°ü°è
orthogonalization Á÷±³È­
orthonormal Á÷±³Á¤±Ô
orthonormal basis Á÷±³Á¤±Ô±âÀú
orthonormal set Á÷±³Á¤±ÔÁýÇÕ  
orthonormal system  Á÷±³Á¤±Ôü°è  
orthonormalization Á÷±³Á¤±ÔÈ­
oscillation 翵oscillatory process Áøµ¿°úÁ¤
out of control ÀÌ»ó»óÅÂ
outcome °á°ú, ÃâÇö
oiter array ¿ÜÃø¹è¿­
outer control limit ¿ÜÃø°ü¸®ÇѰè, ¹Ù±ù°ü¸®ÇѰè
outer fence ¹Ù±ù¿ïŸ¸®
outer measure ¿ÜÃøµµ
outlier ƯÀÌÁ¡, ¹Ù±ùÁ¡, ÀÌ»óÁ¡
outlying value ƯÀ̰ª, °¡±ù°ª, ÀÌ»ó°ª
output Ãâ·Â
overall estimate ÃÑüÀû ÃßÁ¤°ª
overall sampling fraction ÃÑüÀû Ç¥Áý·ü
over-dispersion °ú´ë»êÆ÷
over-fitting °ú´ëÀûÇÕ
overflow ³Ñħ, ¿À¹öÇ÷Î
over-identified °ú´ë½Äº°
overlap design Áߺ¹¼³°è(¹ý)
overlapping clustering Áߺ¹±ºÁýÈ­
overlapping sampling unit Áߺ¹Ç¥Áý´ÜÀ§
over-specification °ú´ëƯÁ¤È­

p-value p°ª
paasche's index ÆÄ¾Æ½¦ÀÇ Áö¼ö
paasxhe formula ÆÄ¾Æ½¦ °ø½Ä
pair ¦, ½Ö
paired comparison ¦ºñ±³, ½Ö(ü)ºñ±³, ´ëÀÀºñ±³
paired data ¦ÀÚ·á, ½Ö(ü)ÀÚ·á
paired difference ¦ÀÇ Â÷
paired observation ¦°üÃø
paired t-test ¦(ÀÇ)[½Öü] t°ËÁ¤[°ËÁõ]
pairwise independent ¦À¸·Î[¦º°·Î, ½Öº°·Î]µ¶¸³
palgrave's index ÆÈ±×·¹À̺êÀÇ Áö¼ö
palm function ÆÊ ÇÔ¼ö
palm's theorem ÆÊÀÇ Á¤¸®
panel ÆÐ³Î
panel survey ÆÐ³ÎÁ¶»ç
parabolic Æ÷¹°Çü
paradigm ÆÐ·¯´ÙÀÓ
paradox ¿ª¼­¸£ ÆÐ·¯µ¶½º
parallel ÆòÇà(¼±), ³ª¶õÇÑ
parallel displacement ÆòÇàÀ̵¿
parallel line ÆòÇ༱
parallel line assay ÆòÇ༱½ÃÇè
parallel madel º´·Ä¸ðÇü
parallel system º´·Äü°è, º´·Ä ½Ã½ºÅÛ
parallel test ÆòÇà°Ë»ç
parallel translation ÆòÇàÀ̵¿
parallelism ÆòÇà(¼º)
paraparallelogram ÆòÇà»çº¯Çü
parallelotope ÆòÇàü
parameter ¸ð¼ö, ÆÄ¶ó¹ÌÅÍ, ¸Å°³º¯¼ö
parameter design ÆÄ¶ó¹ÌÅÍ ¼³°è
parameter hypothesis ¸ð¼öÀû °¡¼³
parametric estimation ¸ð¼öÀû ÃßÁ¤, ÆÄ¶ó¹ÌÅÍÇü ÃßÁ¤
parametric inference ¸ð¼öÀû Ãß·Ð, ÆÄ¶ó¹ÌÅÍÇü Ãß·Ð
parametric model ¸ð¼öÀû ¸ðÇü, ÆÄ¶ó¹ÌÅÍÀû ¸ðÇü
parametrization ¸Å°³º¯¼öÈ­
Pareto coefficient ÆÄ·¹Åä °è¼ö
Pareto diagram ÆÄ·¹Åä ±×¸²
Pareto distribution ÆÄ·¹Åä ºÐÆ÷
Pareto index  ÆÄ·¹Åä Áö¼ö  
Pareto-type distribution ÆÄ·¹ÅäÇü ºÐÆ÷
parsimoneous model Àý¾à¸ðÇü, °æÁ¦Àû ¸ðÇü
part correlation ºÎºÐ»ó°ü
partial ºÎºÐ, Æí
partial autocorrelation function ÆíÀÚ±â»ó°üÇÔ¼ö
partial confounding ºÎºÐÁßø, ºÎºÐÈ¥¼±
partial correlation Æí»ó°ü  
partial correlation ratio Æí»ó°üºñ
partial derivative ÆíµµÇÔ¼ö
partial differentiable Æí¹ÌºÐ°¡´É
partial differential Æí¹ÌºÐ
partial differential equation Æí¹ÌºÐ¹æÁ¤½Ä
partial differentiation Æí¹ÌºÐ
partial enumeration ÀϺÎÁ¶»ç
partial F-test  Æí[ºÎºÐ] F °ËÁ¤[°ËÁõ]
partial inspection ÀϺΰ˻ç
partial likelihood Æí°¡´Éµµ, Æí¿ìµµ, ºÎºÐ¿ìµµ
partial order ºÎºÐ¼ø¼­
partial ordering ºÎºÐ¼ø¼­È­
partial pivoting ºÎºÐÀû ÃàÈ­[ÃßÃàÈ­]
partial regression coefficient Æíȸ±Í°è¼ö
partial regression plot Æíȸ±Í±×¸²
partial replacement ºÎºÐ±³Ã¼
partial residual plot ÆíÀÜÂ÷±×¸²
partial sum ºÎºÐÇÕ
partially balanced array ºÎºÐ±ÕÇü¹è¿­(Ç¥)
partially balanced incomplete block design ºÎºÐ±ÕÇüºÒ¿Ïºñºí·Ï¼³°è
partially balanced lattice square ºÎºÐ±ÕÇü°ÝÀÚ¹æ°Ý[Á¤¹æ]
partially balanced linked block design ºÎºÐ±ÕÇü¿¬°áºí·Ï¼³°è
partially linked block design ºÎºÐ¿¬°áºí·Ï¼³°è
partially ordered set ºÎºÐ¼ø¼­ÁýÇÕ
partition ºÐÇÒ, °¡¸§
partition of chi-squared Ä«ÀÌÁ¦°öÀÇ ºÐÇÒ
partitioned matrix ºÐÇÒÇà·Ä
pascal distribution ÆÄ½ºÄ® ºÐÆ÷
pascal's triangle ÆÄ½ºÄ®ÀÇ »ï°¢Çü
passage Åë·Î
path °æ·Î, ±æ
path analysis °æ·ÎºÐ¼®
path coefficient °æ·Î°è¼ö
path diagram °æ·ÎµµÇ¥
pattern ÇüÅÂ, ÆÐÅÏ
pattern recognition ÇüÅÂÀνÄ, ÆÐÅÏ ÀνÄ
peak Á¤»ó(Á¡)
peakedness »ÏÁ·ÇÔ
pearson's coefficient of correlation ÇǾÀÇ »ó°ü°è¼ö
pearson curve ÇǾ°î¼±
pearson residual ÇǾ ÀÜÂ÷
peeling ²®Áú¹þ±â±â
penalized likelihood ¹úÁ¡°¡´Éµµ
percent, percentage ¹éºÐ·ü, ÆÛ¼¾Æ®
percent defective ºÒ·®·ü
percentage error ¹éºÐ·ü¿ÀÂ÷
percentile ¹éºÐÀ§¼ö
perfect colinearity ¿ÏÀü°ø¼±¼º
performance characteristic ¼º´ÉƯ¼º
period ÁÖ±â, ±â°£
period analysis ÁÖ±âºÐ¼®
periodic function ÁÖ±âÇÔ¼ö
periodic process ÁÖ±â°úÁ¤
periodic replacement Áֱⱳȯ, Á¤±â±³È¯
periodicity Áֱ⼺
periodogram Áֱ⵵
permutation ¼ø¿­, ġȯ
permutation matrix ¼ø¿­Çà·Ä
permutation test ¼ø¿­°ËÁ¤[°ËÁõ]
persistency Áö¼Ó¼º
persistent state Áö¼Ó»óÅÂ
personal probability °³ÀÎÀû È®·ü
perturbation ¼·µ¿, ±³¶õ
phase ˤȗ
phade diagram À§»óµµ
phase function À§»óÇÔ¼ö
phase space À§»ó°ø°£
phase spectrum À§»ó½ºÆåÆ®·³
phenotype Ç¥ÇöÇü
pie chare, pie diagram ÆÄÀ̱׸², ÆÄÀ̵µ
piecewise continuous Á¶°¢º° ¿¬¼Ó
piecewise linear function Á¶°¢º° ¼±ÇüÇÔ¼ö
piecewise polynomial interpolation Á¶°¢º° ´ÙÇ׽帰£¹ý
piecewise smooth curve Á¶°¢º° ÆòȰ°î¼±
pilot sample ½ÃÇèÇ¥º»
pilot survey ½ÃÇèÁ¶»ç
Pitman alternative ÇÇÆ®¸¸ ´ë¸³°¡¼³[´ë¾È]
Pitman efficiency ÇÇÆ®¸¸ È¿À²
Pitman estimator ÇÇÆ®¸¸ ÃßÁ¤·®
Pitman relative efficiency ÇÇÆ®¸¸ »ó´ëÈ¿À²
pivot Ãà, ÃßÃà, Áß½ÉÃà
pivotal quantity Ãà·®, ÃßÃà·®, Áß½ÉÃà·®
pivoting ÃàÈ­, ÃßÃàÈ­, Áß½ÉÃàÈ­
placebo À§¾à, °¡Â¥¾à
plaid square °ÝÀÚ¹«´Ì¹æ°Ý[Á¤¹æ]
plane Æò¸é
planning °èȹ
planning of experiment ½ÇÇè°èȹ
plot(1) ½ÃÇ豸, ½ÇÇ豸, Ç÷Ô
plot(2) ±×¸²
plot sampling ½ÃÇ豸ǥÁý
point Á¡
point binomial distribution Á¡ÀÌÇ×ºÐÆ÷
point-biserial correlation Á¡ÀÌ¿¬»ó°ü
point bivariate distribution Á¡À̺¯·®ºÐÆ÷
point density Á¡¹Ðµµ
point estimate Á¡ÃßÁ¤°ª, Á¡ÃßÁ¤Ä¡
point estimation Á¡ÃßÁ¤
point estimator Á¡ÃßÁ¤·®
point of control °ü¸®Á¡
point of first entry Á¦ 1ÁøÀÔÁ¡
point of indifference ¹«Â÷º°Á¡, Â÷À̾ø´ÂÁ¡
point of inflection º¯°îÁ¡
point of symmetry ´ëĪÁ¡
point prediction Á¡¿¹Ãø
point process Á¡°úÁ¤
point sampling Á¡Ç¥Áý
point set Á¡ÁýÇÕ
point symmetry Á¡´ëĪ
pointwise convergence Á¡(¸¶´Ù) ¼ö·Å
Poisson approximation Æ÷¾Æ¼Û ±Ù»ç
Poisson beta distribution Æ÷¾Æ¼Û º£Å¸ºÐÆ÷
Poisson binomial distribution Æ÷¾Æ¼Û ÀÌÇ×ºÐÆ÷
Poisson clustering process Æ÷¾Æ¼Û ±ºÁýÈ­ °úÁ¤
Poisson distribution Æ÷¾Æ¼Û ºÐÆ÷
Poisson index of dispersion Æ÷¾Æ¼Û »êÆ÷Áö¼ö
Poisson model Æ÷¾Æ¼Û ¸ðÇü
poisson probability paper Æ÷¾Æ¼Û È®·üÁö
poisson process Æ÷¾Æ¼Û °úÁ¤
Poisson random variable Æ÷¾Æ¼Û È®·üº¯¼ö
polar ±Ø, ±Ø¼±
polar coordinate system ±ØÁÂÇ¥°è
political arithmetic Á¤Ä¡»ê¼ú
Polya's distribution Æú·ªÀÇ ºÐÆ÷
Polya's theorem Æú·ªÀÇ Á¤¸®
Polya-type frequency Æú·ªÇü µµ¼ö[ºóµµ]
polynomial ´ÙÇ×½Ä
polynomial approximation ´ÙÇ׽ıٻç
polynomial curve ´ÙÇ׽İ
Polynomial interpolation ´ÙÇ׽帰£
polynomial regression ´ÙÇ×½Äȸ±Í
polynomial trend ´ÙÇ×½ÄÃß¼¼
pooled data ÇÕµ¿ÀÚ·á
pooled estimate ÇÕµ¿ÃßÁ¤°ª
pooled sample variance ÇÕµ¿Ç¥º»ºÐ»ê
pooling ÇÕµ¿, ÇÕº´, ÅëÇÕ, º´ÇÕ,  
pooling of classes °è±ÞÀÇ ÇÕµ¿(È­)
pooling of error ¿ÀÂ÷ÀÇ ÇÕµ¿(È­)
population ¸ðÁý´Ü, Àα¸
population census Àα¸ÃÑÁ¶»ç
population correlation coefficent ¸ð»ó°ü°è¼ö
population defacto »ç½ÇÀα¸, ÇöÀçÀα¸
population dejure »óÁÖÀα¸, ÇöÁÖÀα¸
population density Àα¸¹Ðµµ
population genetics Áý´ÜÀ¯ÀüÇÐ
population parameter ¸ð¼ö, ¸ðÁý´Ü ÆÄ¶ó¹ÌÅÍ
population proportion ¸ðºñÀ²
population pyramid Àα¸ ÇǶó¹Ìµå
population rario ¸ðºñÀ²
population register Àα¸µî·Ï
population regression line ¸ðȸ±Í¼±
population standard deviation ¸ðÇ¥ÁØÆíÂ÷
population variance ¸ðºÐ»ê
portmanteau statistic Æ÷Æ®¸ÅÅä Åë°è·®
positive ¾çÀÇ
positive correlation ¾çÀÇ »ó°ü°ü°è
positive definite ¾çÀÇ Á¤(ïÒ) ºÎÈ£, ¾çÁ¤Ä¡
positive definite form ¾çÀÇ Á¤ºÎÈ£Çü½Ä, ¾çÁ¤Ä¡Çü½Ä
positive definite matrix ¾çÀÇ Á¤ºÎÈ£Çà·Ä, ¾çÁ¤Ä¡Çà·Ä
positive definite quadratic form ¾çÀÇ Á¤ºÎÈ£ ÀÌÂ÷Çü½Ä
positive dependence ¾çÀÇ ÀÇÁ¸¼º, ¾çÀÇ Á¾¼Ó¼º
positive semidefinite ¾çÀÇ ÁØÁ¤ºÎÈ£, ¾ç¹ÝÁ¤Ä¡
positive semidefinite matrix ¾çÀÇ ÁØÁ¤ºÎÈ£Çà·Ä, ¾ç¹ÝÁ¤Ä¡Çà·Ä
positive stable distribution ¾çÀÇ ¾ÈÁ¤ºÐÆ÷
post cluster sampling »çÈıºÁýÇ¥Áý
posterior density »çÈĹеµ
posterior density function »çÈĹеµÇÔ¼ö
posterior distribution »çÈÄºÐÆ÷
posterior probability »çÈÄÈ®·ü
posterior risk »çÈÄÀ§Çè
post-stratification »çÈÄÃþÈ­
postulate °øÁØ
power (of test, 1) °ËÁ¤[°ËÁõ]·Â
power (2) °Åµì°ö, ¸è
power curve °ËÁ¤[°ËÁõ]·Â °î¼±
power function °ËÁ¤[°ËÁõ]·Â ÇÔ¼ö
power mean ¸èÆò±Õ
power moment ¸èÀû·ü
power of test °ËÁ¤[°ËÁõ]·Â
power series ¸è±Þ¼ö, °Åµì°ö±Þ¼ö
power set ¸èÁýÇÕ
power spectrum ¸è ½ºÆåÆ®·³
power transformation ¸èº¯È¯, °Åµì°ö º¯È¯, ´©½Âº¯È¯
practical significance ½ÇÁ¦Àû À¯ÀǼº
precedence test ¼±Ç༺°ËÁ¤[°ËÁõ]
precision Á¤¹Ðµµ, Á¤µµ
precision prescribed ¿ä±¸Á¤¹Ðµµ, ±ÔÁ¤Á¤¹Ðµµ
predetermined variable ¼±°áº¯¼ö
prediction ¿¹Ãø
prediction error ¿¹Ãø¿ÀÂ÷
prediction interval ¿¹Ãø±¸°£
prediction sum of squares ¿¹ÃøÁ¦°ö
predictive distribution ¿¹ÃøºÐÆ÷
predictive validity ¿¹ÃøÅ¸´ç¼º
predictor (variable) ¿¹Ãøº¯¼ö
preemptive discipline ¿ì¼±¼øÀ§¿øÄ¢
preference ordering ¼±È£µµ¼ø¼­È­
prefiltering method »çÀü¿©°ú¹ý
prelimimary data ¿¹ºñ µ¥ÀÌÅÍ
preliminary survey ¿¹ºñÁ¶»ç
preliminary test ¿¹ºñ°ËÁ¤[°ËÁõ]
pre-survey »çÀüÁ¶»ç
pretest »çÀü°Ë»ç
prevalence rate À¯º°À²
prewhitening »çÀü¹é»öÈ­
price index ¹°°¡Áö¼ö
primary sampling unit ÀÏÂ÷Ç¥Áý´ÜÀ§
primary unit ±âº»´ÜÀ§, ÀÏÂ÷´ÜÀ§
prime number ¼Ò¼ö, ¾¾¼ö
principal axis ÁÖÃà
principal component analysis ÁÖ¼ººÐºÐ¼®
principal component graph  ÁÖ¼ººÐ ±×·¡ÇÁ  
principal component score ÁÖ¼ººÐÁ¡¼ö  
principal coordinate analysis  ÁÖÁÂÇ¥ºÐ¼®  
principal factor analysis ÁÖÀÎÀںм®
principle ¿ø¸®
principle of equipartition µîºÐÇÒ¿ø¸®
principle of parsimony Àý¾à¼ºÀÇ ¿ø¸®
prior distribution »çÀüºÐÇ¥, ¼±ÇèÀû ºÐÆ÷
prior mean »çÀüÆò±Õ
prior probability »çÀüÈ®·ü, ¼±ÇèÀû È®·ü
priority queueing ¿ì¼±¼øÀ§´ë±âÇà·Ä
probabilistic madel È®·ü¸ðÇü
probability È®·ü
probability amplitude È®·üÁøÆø
probability density È®·ü¹Ðµµ
probability density function È®·ü¹ÐµµÇÔ¼ö
probability distribution È®·üºÐÆ÷
probability distribution function È®·üºÐÆ÷ÇÔ¼ö
probability element È®·ü¿ø¼Ò
probability function È®·üÇÔ¼ö
probability generation function È®·ü»ý¼ºÇÔ¼ö
probability integral transform È®·üÀûºÐº¯È¯
probability mass È®·êÁú·®
probability mass function È®·üÁú·®ÇÔ¼ö
probability measure È®·êÃøµµ
probability moment È®·üÀû·ü
probability paper È®·üÁö
probability plot È®·üµµ, È®·üÇ÷Ô
probability-probability plot È®·ü´ëÈ®·ü ±×¸²
probability ratio test È®·üºñ°ËÁ¤[°ËÁõ]
probability sample È®·üÇ¥º»
probability set function È®·üÁýÇÕÇÔ¼ö
probability space È®·ü°ø°£
probable drror È®·ü¿ÀÂ÷
probit ÇÁ·Îºø
probit analysis ÇÁ·ÎºøºÐ¼®
probit model ÇÁ·Îºø ¸ðÇü
probit transformation ÇÁ·Îºøº¯È¯
procedural bias ÀýÂ÷Àû ÆíÇâ, ÀýÂ÷Àû ÆíÀÇ
process °úÁ¤, °øÁ¤, ÇÁ·Î¼¼¼­
process average fraction defection °øÁ¤Æò±ÕºÒ·®·ü
process capability °øÁ¤´É·Â
process sapability index °øÁ¤´É·ÂÁö¼ö
process capability ratio °øÁ¤´É·Âºñ
process sapability value °øÁ¤´É·Â°ª
process control °øÁ¤°ü¸®
processing error 󸮿ÀÂ÷
Procrustes rotation ÇÁ·ÎÅ©·¯½ºÆ¼Áî ȸÀü
producer's risk »ý»êÀÚÀ§Çè
product °ö, Àû
product event °ö»ç°Ç
product-limit estimator ½Â¹ý±ØÇÑÃßÁ¤·®, °ö(ÀÇ)±ØÇÑÃßÁ¤·®
product measure °öÃøµµ
product moment °öÀû·ü
product-moment correlation °öÀû·ü»ó°ü
product multinomial distribution °ö´ÙÇ×ºÐÆ÷, Àû´ÙÇ×ºÐÆ÷
production control »ý»ê°ü¸®
production function »ý»êÇÔ¼ö
production index »ý»êÁö¼ö
productive capacity »ý»ê´É·Â
profile analysis ÇÁ·ÎÆÄÀÏ, À±°û
profile plot ÇÁ·ÎÆÄÀÏ ±×¸²
prognostic factor ¿¹ÈÄ¿äÀÎ
program ÇÁ·Î±×·¥
programming ÇÁ·Î±×·¡¹Ö, °èȹ
programming language ÇÁ·Î±×·¡¹Ö ¾ð¾î
progression ¼ö¿­
projection »ç¿µ, Åõ¿µ
projection matrix »ç¿µÇà·Ä
projection operator »ç¿µ¿¬»êÀÚ, »ç¿µÀÛ¿ë¼Ò
projection plane »ç¿µ¸é, Åõ¿µ¸é
projection pursuit »ç¿µÃßÀû
projection pursuit regression »ç¿µÃßÀûȸ±Í
projective »ç¿µÀû
projective transformation »ç¿µº¯È¯
promax rotation ÇÁ·Î¸Æ½º ȸÀü
proper distribution ÁøºÐÆ÷, ÂüºÐÆ÷, ÀûÀýºÐÆ÷
proper subset ÁøºÎºÐÁýÇÕ
proportion ºñÀ²
proportional allocation ºñ·Ê¹èºÐ, ºñ·ÊÇÒ´ç
proportional constant ºñ·Ê»ó¼ö
proportional frequency ºñ·Êµµ¼ö[ºóµµ]
proportional hazards model ºñ·ÊÀ§Çè¸ðÇü
proportional odds model ºñ·Ê¿ÀÁî¸ðÇü
proportional reduction of error [PRE] ¿ÀÂ÷ÀÇ ºñ·Ê°¨¼Ò
proportional sampling ºñ·ÊÇ¥Áý
proposition ¸íÁ¦
prospective study ÀüÇâÀû ¿¬±¸
protocol Áöħ(¼­), ÇÁ·ÎÅäÄÝ
proximity ±ÙÁ¢¼º, ±ÙÁ¢µµ
proximity theorem ±ÙÁ¢¼º Á¤¸®
proxy variable ´ë¸®º¯¼ö
pseudo- À¯»ç, ÀÇ»ç
pseudo-factor À¯»çÀÎÀÚ
pseudo-inverse matrix À¯»ç¿ªÇà·Ä
pseudo-random number À¯»ç³­¼ö
psi-function ½ÎÀÌ ÇÔ¼ö
psychological scaling ½É¸®Ã´µµÈ­
psychometrics °è·®½É¸®ÇÐ
public opinion survey ¿©·ÐÁ¶»ç
punch card õ°øÄ«µå
pure birth process ¼ø¼öÃâ»ý°úÁ¤
pure error ¼ø¼ö¿ÀÂ÷
pure strategy ¼ø¼öÀü·«
purposive sample ¸ñÀûÇ¥º»
purposive sampling ¸ñÀûÇ¥Áý
purposive selection ¸ñÀûÃßÃâ
pursuit curve ÃßÀû°î¼±

Q-technique Q ±â¹ý
QC circle QC ºÐÀÓÁ¶
quadrant circle »çºÐ¿ø
quadrant dependence »çºÐÀÇÁ¸¼º, »çºÐÁ¾¼Ó¼º
quadrat Á¤¹æ[¹æ°Ý]±¸¿ª
quadratic approximation ÀÌÂ÷±Ù»ç
quadratic estimator ÀÌÂ÷ÇüÃßÁ¤·®
quadratic form ÀÌÂ÷ÇüÅÂ
quadratic programming ÀÌÂ÷°èȹ¹ý
quadratic response ÀÌÂ÷¹ÝÀÀ
quadratic term ÀÌÂ÷Ç×
qualitative data ÁúÀûÀÚ·á
qualitative factor ÁúÀû¿äÀÎ
qualitative robustness ÁúÀû ·Î¹ö½ºÆ®¼º
qualitative variable ÁúÀû º¯¼ö, Á¤¼ºº¯¼ö
quality ǰÁú
quality assurance ǰÁúº¸Áõ
quality control ǰÁú°ü¸®
quality control chart ǰÁú°ü¸®µµ
quality level ǰÁú¼öÁØ
quality specification ǰÁú±Ô°Ý
quality standard ǰÁúÇ¥ÁØ
quantal assay °¡ºÎ½ÃÇè
quantal response °¡ºÎ¹ÝÀÀ, °è¼ö¹ÝÀÀ
quantification method ¼ö·®È­¹ý, ¼ö·®È­¹æ¹ý
quantification method 1 ¼ö·®È­ Á¦1¹æ¹ý, ¼ö·®È­¹ý 1
quantification method 2 ¼ö·®È­ Á¦2¹æ¹ý, ¼ö·®È­¹ý 2
quantification method 3 ¼ö·®È­ Á¦2¹æ¹ý, ¼ö·®È­¹ý 3
quantification method 4 ¼ö·®È­ Á¦2¹æ¹ý, ¼ö·®È­¹ý 4
quantification theory ¼ö·®È­ÀÌ·Ð
quantile ºÐÀ§¼ö
quantile-quantile plot ºÐÀ§¼ö´ëºÐÀ§¼ö ±×¸²
quantitative data ¾çÀû ÀÚ·á
quantitative relative »ó´ë¼ö·®
quantitative response ¾çÀû ¹ÝÀÀ
quantitative robustness ¾çÀû ·Î¹ö½ºÆ®¼º
quantitative variable ¾çÀû º¯¼ö
quantity ¾ç
quartile »çºÐÀ§¼ö
quartile deviation »çºÐÀ§ÆíÂ÷
quartile measure of skewness »çºÐÀ§¼ö¿Öµµ
quartile variation »çºÐÀ§º¯µ¿
quasi- ÁØ
quasi-experiment ÁؽÇÇè
quasi-factorial design ÁØ¿äÀμ³°è
quasi-independence Áص¶¸³
quasi-Latin square ÁØ ¶óƾ ¹æ°Ý[Á¤¹æ]
quasi-likelihood Áذ¡´Éµµ
quasi-Markov chain ÁØ ¸¶¸£ÄÚÇÁ ¿¬¼â
quasi-maximum likelihood estimator ÁØÃÖ´ë°¡´Éµµ ÃßÁ¤·®
quasi-Newton method ÁØ ´ºÆ° ¹æ¹ý
quasi-normal equation ÁØÁ¤±Ô¹æÁ¤½Ä
quasi-random sampling ÁØÀÓÀÇÇ¥Áý
Quenouille's test Å©´©ÀÌÀÇ °ËÁ¤[°ËÁõ]
questionnaire ¼³¹®Áö
Quetelet ÄÉÆ²·¹
queueing problem ´ë±âÇà·Ä¹®Á¦
queueing process ´ë±âÇà·Ä°úÁ¤
queueing theory ´ë±âÇà·ÄÀÌ·Ð
quintiles ¿ÀºÐÀ§¼ö
quota method ÇÒ´ç¹ý
quota sampling ´çÇ¥Áý

R-estimator R ÃßÁ¤·®
R-technique R ±â¹ý
radix 񃬔
Radom-Nikodym derivative ¶óµ·-´ÏÄÚµõ µµÇÔ¼ö
random ÀÓÀÇ, ·£´ý, ¹«ÀÛÀ§, È®·ü(Àû)
random arrangement ÀÓÀǹèÄ¡, È®·üÀû ¹èÄ¡
random censoring ÀÓÀÇÁßµµÀý´Ü
random component ÀÓÀǼººÐ, ·£´ý¼ººÐ
random distribution ÀÓÀÇºÐÆ÷, È®·üºÐÆ÷
random effect ÀÓÀÇÈ¿°ú, º¯·®È¿°ú
random error ÀÓÀÇ¿ÀÂ÷, ·£´ý¿ÀÂ÷, È®·ü¿ÀÂ÷
random event ÀÓÀÇ»ç»ó, È®·ü»ç»ó
random experiment ÀÓÀǽÇÇè, È®·ü½ÇÇè
random failure ¿ì¹ß°íÀå
random field ÀÓÀÇÀå, È®·üÀå
random impulse process ÀÓÀÇÃæ°Ý°úÁ¤, È®·üÃæ°Ý°úÁ¤
random interval ÀÓÀDZ¸°£, È®·ü±¸°£
random lines graph ÀÓÀǼ± ±×·¡ÇÁ
random mating ÀÓÀDZ³¹è, ·£´ý ±³¹è
random motion ÀÓÀǿ
random number ³­¼ö, ÀÓÀǼö
random number die ³­¼öÁÖ»çÀ§
random number table ³­¼öÇ¥
random order ÀÓÀǼø¼­, ·£´ý¼ø¼­
random process ÀÓÀǰúÁ¤, È®·ü°úÁ¤, ·£´ý°úÁ¤
random sample ÀÓÀÇÇ¥º», È®·üÇ¥º», ·£´ýÇ¥º»
random sampling ÀÓÀÇÇ¥Áý, È®·üÇ¥Áý
random search ÀÓÀÇŽ»ö
random variable È®·üº¯¼ö
random vector È®·üº¤ÅÍ
random walk ÀÓÀǺ¸Çà, È®·üº¸Çà
random zero ÀÓÀÇ¿µ
randomization ÀÓÀÇÈ­, È®·üÈ­, ·£´ýÈ­
randomization model ÀÓÀÇÈ­¸ðÇü
randomization test ÀÓÀÇÈ­°ËÁ¤[°ËÁõ}, È®·üÈ­°ËÁ¤[°ËÁõ]
randomized block design ÀÓÀÇÈ­[·£´ýÈ­, È®·üÈ­] ºí·Ï ¼³°è
randomized decision function ÀÓÀÇÈ­[È®·üÈ­]°áÁ¤ÇÔ¼ö
randomized response ÀÓÀÇÈ­ÀÀ´ä, È®·üÈ­ÀÀ´ä
randomized trial ÀÓÀÇÈ­½ÃÇà, È®·üÈ­½ÃÇà
randomness ÀÓÀǼº, È®·ü¼º, ¿ì¿¬¼º
range ¹üÀ§, Ä¡¿ª
range control chart ¹üÀ§°ü¸®µµ
rank (1) ¼øÀ§
rank (2) °è¼ö(Í­â¦)
rank condition of identification ½Äº°°è¼öÁ¶°Ç
rank corretion ¼øÀ§¼öÁ¤
rank correlation ¼øÀ§»ó°ü
rank-sum test ¼øÀ§ÇÕ°ËÁ¤[°ËÁõ]
ranking method ¼øÀ§È­¹æ¹ý
Rao's scoring test ¶ó¿ÀÀÇ Á¡¼öÈ­°ËÁ¤[°ËÁõ]
Rao-Blackwell theorem ¶ó¿À-ºí·¢À£ Á¤¸®
Rasch model ¶ó½¬ ¸ðÇü
rate À²
rate of change º¯È­À²
rate of increment Áõ°¡À²
rating method ÆòÁ¤¹æ¹ý
rating-score method ÆòÁ¤Á¡¼ö¹ý
ratio ºñ, À²
ratio estimator ºñÃßÁ¤·®
ratio scale ºñôµµ
rational number À¯¸®¼ö
raw data ¿øÀÚ·á
raw material ¿øÀç·á
raw moment ¿øÀû·ü
Rayleigh distribution ¶ö¸® ºÐÆ÷
Rayleigh test ¶ö¸® °ËÁ¤[°ËÁõ]
real function ½ÇÇÕ¼ö
real number ½Ç¼ö
real variable ½Çº¯¼ö
real wage index ½ÇÁúÀÓ±ÝÁö¼ö
realization ½ÇÇö
rearrangement Àç¹è¿­
recessive ¿­¼º
reciprocal ¿ª(ÀÇ), ¼­·Î°£ÀÇ
reciprocal average method ±³È£Æò±Õº±
reciprocal transformation ¿ªº¯È¯
recognition ÀÎÁö, ÀνÄ
records test ±â·Ï°ª°ËÁ¤[°ËÁõ]
rectangle Á÷»ç°¢Çü
rectangle graph Á÷»ç°¢Çü ±×·¡ÇÁ
rectangular association scheme Á÷»ç°¢µ¿¹Ý°èȹ
rectangular coordinate system Á÷±³ÁÂÇ¥°è
rectangular distribution Á÷»ç°¢ÇüºÐÆ÷
rectangular lattice Á÷»ç°¢°ÝÀÚ
rectified index number ±³Á¤Áö¼ö
rectilinear trend Á÷¼±Àû °æÇâ
recurrence time Àç±Í½Ã°£, Àç¹ß½Ã°£
recurrent Àç±ÍÀû, Àç¹ß¼º
recurrent Markov chain Àç±ÍÀû ¸¶¸£ÄÚÇÁ ¿¬¼â
recurrent state Àç±Í(¼º) »óÅÂ
recursion µÇÇ®ÀÌ, ¼øÈ¯, ¹Ýº¹
recursion formula Á¡È­½Ä
recursive µÇÇ®ÀÌÇÏ´Â
recursive function µÇÇ®ÀÌü°è
recursive system µÇ·êÀÌü°è
reduced form Ãà¼ÒÇü
reduced form equations Ãà¼ÒÇü¹æÁ¤½Ä
reduced inspection Ãà¼Ò°Ë»ç, ¼ö¿ùÇÑ °Ë»ç
reduced scale ̫̈
reduced variate Ãà¼Òº¯·®
reduction Ãà¼Ò, ¾àºÐ, Ãà¾à
reduction of order Â÷¼öÀÇ Ãà¼Ò
redundancy °úÀ×, Áߺ¹
re-expression ÀçÇ¥Çö
reference period ÁذűⰣ
reference scale ÁذÅôµµ, ±âÁØÀÚ
reference set ÁذÅÁýÇÕ
reference year Áذųâ, ±âÁسâ,  
reflecting barrier ¹Ý»çº®
reflexive ¹Ý»çÀû
reflexive relation ¹Ý»ç°ü°è
refusal rate °ÅºÎÀ²
regeverative process Àç»ý¼º°úÁ¤
region ¿µ¿ª
region of interest °ü½É¿µ¿ª
regional statistics Áö¿ªÅë°è
regressand ÇÇȸ±Íº¯¼ö
regression ȸ±Í
regression analysis ȸ±ÍºÐ¼®
regression coefficient ȸ±Í°è¼ö
regression curve ȸ±Í°î¼±
regression diagnostics ȸ±ÍÁø´Ü, ȸ±Í°ËÁø
regression equation ȸ±Í½Ä
regression estimate ȸ±ÍÃßÁ¤°ª
regression line ȸ±Í¼±, ȸ±ÍÁ÷¼±
regression mean squares ȸ±ÍÆò±ÕÁ¦°ö
regression model ȸ±Í¸ðÇü
regression plane ȸ±ÍÆò¸é
regression spline ȸ±Í ½ºÇ®¶óÀÎ
regression straight line ȸ±ÍÁ÷¼±
regression through the origin ¿øÁ¡Åë°úȸ±Í, ¿øÁ¡È¸±Í
regressor ȸ±Íº¯¼ö
regret ÈÄȸ, ±âȸ¼Õ½Ç
regular estimator Á¤Ä¢ÃßÁ¤·®
regular matrix Á¤Ä¢Çà·Ä
regularity condition Á¤Ä¢Á¶°Ç
reject ±â°¢ÇÏ´Ù
rejectable quality level ºÒÇÕ°ÝǰÁú¼öÁØ
rejection ±â°¢
rejection error ±â°¢¿À·ù
rejection number ±â°¢¼ö, ºÒÇÕ°ÝÆÇÁ¤¼ö
rejection region ±â°¢¿ª, ±â°¢¿µ¿ª
rejective sampling ±â°¢Ç¥Áý
relation °ü°è
relational model °ü°èÇü¸ðÇü
relative accuracy »ó´ëÁ¤È®µµ
relative dispersion »ó´ë»êÆ÷µµ
relative efficiency »ó´ëÈ¿À²
relative error »ó´ë¿ÀÂ÷
relative frequency »ó´ëµµ¼ö[ºóµµ]
relative index »ó´ëÁö¼ö
relative information »ó´ëÁ¤º¸·®
relative potency »ó´ëÈ¿´É
relative precision »ó´ëÁ¤¹Ðµµ
relative probability »ó´ëÈ®·ü
relative risk »ó´ëÀ§Çèµµ
relative variance »ó´ëºÐ»ê
relaxed oscillation ¿ÏÈ­Áøµ¿
reliability ½Å·Ú¼º, ½Å·Úµµ
reliability analysis ½Å·ÚµµºÐ¼®
reliability coefficient ½Å·Úµµ, ½Å·Ú¼º°è¼ö
reliability curve ½Å·Úµµ°î¼±
reliability engineering ½Å·Ú¼º°øÇÐ
reliability function ½Å·ÚµµÇÔ¼ö
remainder ³ª¸ÓÁö, ÀÜÂ÷
renewal °»½Å, Àç»ý, ´Ù½Ã »õ·Î¿ò
renewal distribution °»½ÅºÐÆ÷
renewal equation °»½Å¹æÁ¤½Ä
renewal process °»½Å°úÁ¤, ´Ù½Ã »õ·Î¿ò °úÁ¤
renewal rate °»½Å·ü
renewal theorem °»½ÅÁ¤¸®
repair ¼ö¸®
reparametrization Àç¸ð¼öÈ­
repeatability ¹Ýº¹(°¡´É)¼º
repeated combination Áߺ¹Á¶ÇÕ
repeated measurement ¹Ýº¹ÃøÁ¤
repeated permutation Áߺ¹¼ø¿­
repeated sampling ¹Ýº¹Ç¥Áý
repeated signficance test ¹Ýº¹À¯ÀǼº°ËÁ¤[°ËÁõ]
repeated survey ¹Ýº¹Á¶»ç
repeated trial ¹Ýº¹½ÃÇà
repetiton ¹Ýº¹
replacement º¹¿ø
replacement cost ±³Ã¼ºñ¿ë
replicated sampling ¹Ýº¹Ç¥Áý, ¹Ýº¹ »ùÇøµ
replication ¹Ýº¹
representative sample ´ëÇ¥(Àû)Ç¥º»
representative value ´ëÇ¥°ª
reproducibility ÀçÇö(°¡´É)¼º
resampling ÀçÇ¥Áý
research hypothesis ¿¬±¸°¡¼³
residual ÀÜÂ÷
residual effect ÀÜ·ùÈ¿°ú
residual lifetime ÀÜ¿©¼ö¸í
residual sum of squares ÀÜÂ÷Á¦°öÇÕ
residual variance ÀÜÂ÷ºÐ»ê
residual vector ÀÜÂ÷ º¤ÅÍ
residual waiting time ÀÜ¿©´ë±â½Ã°£
resistance ÀúÇ×¼º
resistant line ÀúÇ×Á÷¼±, ÀúÇ×¼ºÁ÷¼±
resolution ÇØ»óµµ
resolvable design ºÐÇØ°¡´É¼³°è
respondent ÀÀ´äÀÚ
response ¹ÝÀÀ, ÀÀ´ä
response error ¹ÝÀÀ¿ÀÂ÷, ÀÀ´ä¿ÀÂ÷
response function ¹ÝÀÀÇÕ¼ö
response metameter ¹ÝÀÀ¸ÞŸ¹ÌÅÍ
response surface analysis ¹ÝÀÀÇ¥¸éºÐ¼®
response surface design ¹ÝÀÀÇ¥¸é¼³°è
response time distribution ¹ÝÀÀ½Ã°£ºÐÆ÷
response variable ¹ÝÀÀº¯¼ö
restricted randomization Á¦ÇÑÀÓÀÇÈ­, Á¦ÇÑÈ®·üÈ­
restricted regression Á¦ÇÑȸ±Í
restricted sequential procedure Á¦ÇÑÀû ¼øÂ÷ÀýÂ÷
retail price index ¼Ò¸Å¹°°¡Áö¼ö
retrospective study ÈÄÇâ(Àû)¿¬±¸
return period º¹±ÍÁÖ±â
return time º¹±Í½Ã°£
reversal design ¹ÝÀü¼³°è
reversal test ¹ÝÀü°ËÁ¤[°ËÁõ]
reverse ¿ª
reversible relation °¡¿ª°ü°è
reweighted least squares Àç°¡ÁßÃÖ¼ÒÁ¦°ö
ridge estimator ´É¼±ÃßÁ¤·®, ´ÉÇüÃßÁ¤·®
ridge regression ´É¼±È¸±Í, ´ÉÇüȸ±Í
ridge trace method ´É¼±ÃßÀû¹ý, ´ÉÇüÃßÀû¹ý
Riemann distribution ¸®¸¸ ºÐÆ÷
Riemann integral ¸®¸¸ ÀûºÐ
Riemann-Lebesgue theorem ¸®¸¸-¸£º£±× Á¤¸®
right inverse ¿À¸¥ÂÊ¿ª¿ø, ¿ì¿ª¿ø
right invertible ¿À¸¥Âʰ¡¿ª, ¿ì°¡¿ª
rigid mition °­Ã¼¿îµ¿
risk À§Çè
risk function À§ÇèÇÔ¼ö
risk set À§ÇèÁýÇÕ
robust ·Î¹ö½ºÆ®
robust design ·Î¹ö½ºÆ® ¼³°è
robust inference ·Î¹ö½ºÆ® Ãß·Ð
robust method ·Î¹ö½ºÆ® ¹æ¹ý
robustness ·Îº¸½ºÆ®¼º
root mean square error Á¦°ö±ÙÆò±ÕÁ¦°ö¿ÀÂ÷
rotatable design ȸÀü±â´É¼³°è
rotating coordinates method ȸÀüÁÂÇ¥¹ý
rotation ȸÀü, ¼øÈ¯
rotation sampling ¼øÈ¯Ç¥Áý, ±³Ã¼Ç¥Áý
Rothamsted Experimental Station ·Î´ã½ºÅ×µå ½ÃÇèÀå
rough °ÅÄ¥À½, ÀÜÂ÷
rough estimation ¾î¸²ÃßÁ¤
round number ¾î¸²¼ö
round-off error ¹Ý¿Ã¸²¿ÀÂ÷
round-robin design ¶ó¿îµå-·Îºó ¼³°è
rounding ¹Ý¿Ã¸²
rounding error ¹Ý¿Ã¸²¿ÀÂ÷
rounding off ¹ö¸²
rounding off error ¹ö¸²¿ÀÂ÷
rounding up ¿Ã¸²
route sampling µµ·ÎÇ¥Áý
row Çà
row vector Ç຤ÅÍ
ruler ÀÚ
run ·±, ¿¬, ¿¬¼Ó¸¶µð
run length ·± ±æÀÌ, ¿¬±æÀÌ
run test ·± °ËÁ¡[°ËÁõ], ¿¬°ËÁ¤[°ËÁõ]
running mean À̵¿Æò±Õ
running median À̵¿ÁßÀ§¼ö

saddle point ¾ÈÀåÁ¡, ¾ÈºÎÁ¡
sample Ç¥º»
sample allocation Ç¥º»¹èºÐ
sample distribution function Ç¥º»ºÐÆ÷ÇÔ¼ö
sample fluctuation Ç¥º»º¯µ¿
sample inspection Ç¥º»°Ë»ç
sample line Ç¥º»¼±
sample mean Ç¥º»Æò±Õ
sample range Ç¥º»¹üÀ§
sample size Ç¥º»(ÀÇ) Å©±â
sample space Ç¥º»°ø°£
sample standard deviation Ç¥º»Ç¥ÁØÆíÂ÷
sample statistic Ç¥º»Åë°è·®
sample survey Ç¥º»Á¶»ç
sample survey techniques Ç¥º»Á¶»ç±â¹ý
sample variance Ç¥º»ºÐ»ê
sampled population Ç¥Áý¸ðÁý´Ü
sampling Ç¥Áý, ÃßÃâ, Ç¥º»ÃßÃâ, »ùÇøµ
sampling bias Ç¥ÁýÆíÇâ, Ç¥ÁýÆíÀÇ
sampling card Ç¥ÁýÄ«µå, »ùÇøµ Ä«µå
sampling design Ç¥Áý¼³°è
sampling distribution Ç¥ÁýºÐÆ÷
sampling error Ç¥Áý¿ÀÂ÷
sampling for attributes ¼Ó¼ºÇü»ùÇøµ
sampling fraction Ç¥Áý·ü, ÃßÃâ·ü
sampling frame Ç¥Áý·ü
sampling inspection »ùÇøµ °Ë»ç, Ç¥Áý°Ë»ç
sampling inspection by attributes °è¼öÇü »ùÇøµ °Ë»ç
sampling inspection by variables °è·®Çü »ùÇøµ °Ë»ç
samlpling interval Ç¥Áý°£°Ý, ÃßÃâ°£°Ý
samlpling plan Ç¥Áý°èȹ
sampling survey Ç¥ÁýÁ¶»ç
sampling unit Ç¥Áý´ÜÀ§
sampling variation Ç¥Áýº¯µ¿
sampling with equal probability µîÈ®·üÇ¥Áý
sampling with probability proportional to size Å©±âºñ·ÊÈ®·üÇ¥Áý
sampling with replacement º¹¿øÇ¥Áý, º¹¿øÃßÃâ
sampling without replacement ºñº¹¿øÇ¥Áý, ºñº¹¿øÃßÃâ
sampling zero Ç¥Áý¿µ
saturated Æ÷È­(µÈ)
saturated model Æ÷È­¸ðÇü
saturation Æ÷È­
Savage test ½êºñÁö °ËÁ¤[°ËÁõ]
scalar ½ºÄ®¶ó
scale ôµµ, ´«±Ý
scale invariance ôµµºÒº¯¼º
scale parameter ôµµ¸ð¼ö
scale transformation ôµµº¯È¯
scaled deviance ôµµ(È­)ÀÌÅ»µµ[ÆíÂ÷]
scaling ôµµÈ­
scatter coefficient »êÆ÷°è¼ö
scatter plot, scatter diagram »êÁ¡µµ
scatter plot matrix »êÁ¡µµÇà·Ä
Scheffe's test ½¦ÆäÀÇ °ËÁ¤[°ËÁõ]
Schwarz's inequality ½´¹Ù¸£Ã÷ÀÇ ºÎµî½Ä
score Á¡¼ö
score function Á¡¼öÇÔ¼ö
scoring method Á¡¼öÈ­¹æ¹ý
scree graph »êºñÅ»±×¸², ½ºÅ©¸® ±×·¡ÇÁ
screening ¼±º°
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screening inspection ¼¶º°°Ë»ç
search method Ž»ö¹ý
seasonal adjustment °èÀýÁ¶Á¤
seasonal factor °èÀýÀμö, °èÀý¿äÀÎ
seasonality °èÀý¼º
seasonal variation °èÀýº¯µ¿
secondary analysis ÀÌÂ÷ºÐ¼®
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secondary data source ÀÌÂ÷ÀÚ·á¿ø
secondary sampling unit ÀÌÂ÷Ç¥Áý´ÜÀ§
secondary unit ÀÌÂ÷´ÜÀ§
section ´Ü¸é, ÀÚ¸¥¸é
seemingly unrelated regression[SUR] °Ñº¸±â ¹«°ü[º¸±â¿¡ ¹«°üÇÑ]ȸ±Í
segmentation ¼¼ºÐÈ­
segmented polynomial regression ±¸°£º°´ÙÇ×ȸ±Í
selection ¼±ÅÃ, ¼±¹ß
selection bias ¼±ÅÃÆíÇâ
selection index ¼±¹ßÁö¼ö, ¼±ÅÃÁö¼ö
self-administered questionnaire ÀÚ±â±âÀԽļ³¹®Áö, ÀÚ±â½Ä¼³¹®Áö
self-conjugate Latin square ÀÚ±âÄ÷¹[°ø¾×]¶óƾ ¹æ°Ý[Á¤¹æ]
self fertilization ÀÚ°¡¼öÁ¤
self similar process ÀÚ±âÀ¯»ç°úÁ¤
semi- ÁØ, ¹Ý
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semi-definite quadratic form ÁØÁ¤ºÎÈ£ÀÌÂ÷Çü½Ä
semi-finite measure ÁØÀ¯ÇÑÃøµµ
semi-invariant ÁغҺ¯
semi-invariant coefficient ÁغҺ¯°è¼ö
semi-Markov process ÁØ ¸¶¸£ÄÚÇÁ °úÁ¤
semi-martingale Áظ¶ÆÃ°ÔÀÏ
semiparametric method Áظð¼öÀû ¹æ¹ý, ÁØÆÄ¶ó¹ÌÅÍÀû ¹æ¹ý
sensitivity ¹Î°¨µµ
sensory evaluation °¨°¢Æò°¡, °ü´ÉÆò°¡
sensory test °¨°¢°Ë»ç, °ü´É°Ë»ç
separable ºÐ¸®°¡´ÉÇÑ
separable set ºÐ¸®°¡´ÉÁýÇÕ
separable space ºÐ¸®°¡´É°ø°£
separation ºÐ¸®
sequence ¼ö¿­, ¿­
sequential ¼øÂ÷(Àû), ÃàÂ÷(Àû)
sequential analysis ¼øÂ÷(Àû)ºÐ¼®
sequential decision problem ¼øÂ÷Àû °áÁ¤¹®Á¦
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sequential experiment ¼øÂ÷½ÇÇè
sequential inspection ¼øÂ÷°Ë»ç
sequential probability ratio test ¼øÂ÷È®·üºñ°ËÁ¤[°ËÁõ]
sequential sampling ¼øÂ÷Ç¥Áý
sequential test ¼øÂ÷(Àû)°ËÁ¤[°ËÁõ]
serial correlation °è¿­»ó°ü
serial lag correlation °è¿­½ÃÂ÷»ó°ü
serial variation °è¿­º¯µ¿
series ±Þ¼ö, °è¿­
series model Á÷·Ä¸ðÇü
series system Á÷·Äü°è, Á÷·Ä ½Ã½ºÅÛ
set ÁýÇÕ
set function ÁýÇÕÇÔ¼ö
set operation ÁýÇÕ¿¬»ê
set theory ÁýÇÕ·Ð
sex chromosome ¼º¿°»öü
sex linkage ¼º¿¬°ü
sex ratio ¼ººñ
sex structure Àα¸¼ºº°±¸Á¶
shape analysis Çü»óºÐ¼®, Çüźм®
shape parameter Çü»ó¸ð¼ö, ÇüŸð¼ö
shape restriction Çü»óÁ¦¾à, ÇüÅÂÁ¦¾à
Shapiro-Wilk test »þÇÇ·Î-ÀªÅ© °ËÁ¤
Sheppard's correction ½¦ÆÄµåÀÇ ¼öÁ¤
Shewhart control chart ½´ÇÏÆ® °ü¸®µµ
shift À̵¿, ¹Ð¸²
shift parameter À̵¿¸ð¼ö
shock model Ãæ°Ý¸ðÇü
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shortest confidence interval Ãִܽŷڱ¸°£
shortest prediction interval ÃÖ´Ü¿¹Ãø±¸°£
shrinkage estimater Ãà¼ÒÃßÁ¤·®
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signal ½ÅÈ£
sigmal-to-noise ratio ½ÅÈ£´ëÀâÀ½ ºñ
sign ºÎÈ£
sign test ºÎÈ£°ËÁ¤[°ËÁõ]
signed measure ºÎÈ£Ãøµµ, ºÎÈ£°¡ ºÙÀº Ãøµµ
signed rank test ºÎÈ£¼øÀ§°ËÁ¤[°ËÁõ]
significance À¯ÀǼº
significance level À¯ÀǼöÁØ
significance probability À¯ÀÇÈ®·ü
significance test À¯ÀǼº°ËÁ¤[°ËÁõ]
significant À¯ÀÇÀû, À¯ÀÇÇÑ
similar action À¯»çÇൿ, À¯»çÇàÀ§
similar region À¯»ç¿µ¿ª, ´áÀº ¿µ¿ª
similar test À¯»ç°ËÁ¤[°ËÁõ], ´áÀº °ËÁ¤[°ËÁõ]
similarity À¯»ç¼º, »ó»ç¼º, ´áÀ½
simple hypothesis ´Ü¼ø°¡¼³
simple index number ´Ü¼øÁö¼ö
simple interaction ´Ü¼ø»óÈ£ÀÛ¿ë
simple lattice ´Ü¼ø°ÝÀÚ
simple lattice design ´Ü¼ø°ÝÀÚ¼³°è
simple random sample ´Ü¼øÀÓÀÇ[´Ü¼ø·£´ý, ´Ü¼øÈ®·ü]Ç¥º»
simple random sampling ´Ü¼øÀÓÀÇ[´Ü¼ø·£´ý, ´Ü¼øÈ®·ü]Ç¥Áý