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Çжûŵ·òÁ³Æ×ͼ Chi-square test, ¿¨·½¼ìÑé/¦Ö2¼ìÑé Choleskey decomposition, ÇÇÂå˹»ù·Ö½â Circle chart, Բͼ Class interval, ×é¾à Class mid-value, ×éÖÐÖµ Class upper limit, ×éÉÏÏÞ Classified variable, ·ÖÀà±äÁ¿ Cluster analysis, ¾ÛÀà·ÖÎö Cluster sampling, ÕûȺ³éÑù Code, ´úÂë Coded data, ±àÂëÊý¾Ý Coding, ±àÂë Coefficient of contingency, ÁÐÁªÏµÊý Coefficient of determination, ¾ö¶¨ÏµÊý Coefficient of multiple correlation, ¶àÖØÏà¹ØÏµÊý Coefficient of partial correlation, Æ«Ïà¹ØÏµÊý Coefficient of production-moment correlation, »ý²îÏà¹ØÏµÊý Coefficient of rank correlation, µÈ¼¶Ïà¹ØÏµÊý Coefficient of regression, »Ø¹éϵÊý Coefficient of skewness, Æ«¶ÈϵÊý Coefficient of variation, ±äÒìϵÊý Cohort study, ¶ÓÁÐÑо¿ Column, ÁÐ Column effect, ÁÐЧӦ Column factor, ÁÐÒòËØ Combination pool, ºÏ²¢ Combinative table, ×éºÏ±í Common factor, ¹²ÐÔÒò×Ó Common regression coefficient, ¹«¹²»Ø¹éϵÊý Common value, ¹²Í¬Öµ Common variance, ¹«¹²·½²î Common variation, ¹«¹²±äÒì Communality variance, ¹²ÐÔ·½²î Comparability, ¿É±ÈÐÔ 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regression, ÇúÏ߻عé Curvilinear relation, ÇúÏß¹ØÏµ Cut-and-try method, ³¢ÊÔ·¨ Cycle, ÖÜÆÚ Cyclist, ÖÜÆÚÐÔ D test, D¼ìÑé Data acquisition, ×ÊÁÏÊÕ¼¯ Data bank, Êý¾Ý¿â Data capacity, Êý¾ÝÈÝÁ¿ Data deficiencies, Êý¾Ýȱ·¦ Data handling, Êý¾Ý´¦Àí Data manipulation, Êý¾Ý´¦Àí Data processing, Êý¾Ý´¦Àí Data reduction, Êý¾ÝËõ¼õ Data set, Êý¾Ý¼¯ Data sources, Êý¾ÝÀ´Ô´ Data transformation, Êý¾Ý±ä»» Data validity, Êý¾ÝÓÐЧÐÔ Data-in, Êý¾ÝÊäÈë Data-out, Êý¾ÝÊä³ö Dead time, Í£ÖÍÆÚ Degree of freedom, ×ÔÓÉ¶È Degree of precision, ¾«ÃÜ¶È Degree of reliability, ¿É¿¿ÐÔ³Ì¶È Degression, µÝ¼õ Density function, ÃܶȺ¯Êý Density of data points, Êý¾ÝµãµÄÃÜ¶È Dependent variable, Ó¦±äÁ¿/ÒÀ±äÁ¿/Òò±äÁ¿ Dependent variable, Òò±äÁ¿ Depth, Éî¶È Derivative matrix, µ¼Êý¾ØÕó Derivative-free methods, ÎÞµ¼Êý·½·¨ Design, Éè¼Æ Determinacy, È·¶¨ÐÔ Determinant, ÐÐÁÐʽ Determinant, ¾ö¶¨ÒòËØ Deviation, Àë²î Deviation from average, Àë¾ù²î Diagnostic plot, Õï¶Ïͼ Dichotomous variable, ¶þ·Ö±äÁ¿ Differential equation, ΢·Ö·½³Ì Direct standardization, Ö±½Ó±ê×¼»¯·¨ Discrete variable, ÀëÉ¢ÐͱäÁ¿ DISCRIMINANT, ÅÐ¶Ï Discriminant analysis, Åбð·ÖÎö Discriminant coefficient, ÅбðϵÊý Discriminant function, ÅбðÖµ Dispersion, É¢²¼/·ÖÉ¢¶È Disproportional, ²»³É±ÈÀýµÄ Disproportionate sub-class numbers, ²»³É±ÈÀý´Î¼¶×麬Á¿ Distribution free, ·Ö²¼ÎÞ¹ØÐÔ/Ãâ·Ö²¼ Distribution shape, ·Ö²¼ÐÎ×´ Distribution-free method, ÈÎÒâ·Ö²¼·¨ Distributive laws, ·ÖÅäÂÉ Disturbance, Ëæ»úÈŶ¯Ïî Dose response curve, ¼ÁÁ¿·´Ó¦ÇúÏß Double blind method, ˫ä·¨ Double blind trial, ˫äÊÔÑé Double exponential distribution, ˫ָÊý·Ö²¼ Double logarithmic, Ë«¶ÔÊý Downward rank, ½µÖÈ Dual-space plot, ¶Ôż¿Õ¼äͼ DUD, ÎÞµ¼Êý·½·¨ Duncan's new multiple range method, и´¼«²î·¨/Duncanз¨ E-L Effect, ʵÑéЧӦ Eigenvalue, ÌØÕ÷Öµ Eigenvector, ÌØÕ÷ÏòÁ¿ Ellipse, ÍÖÔ² Empirical distribution, ¾Ñé·Ö²¼ Empirical probability, ¾Ñé¸ÅÂʵ¥Î» Enumeration data, ¼ÆÊý×ÊÁÏ Equal sun-class number, ÏàµÈ´Î¼¶×麬Á¿ Equally likely, µÈ¿ÉÄÜ Equivariance, ͬ±äÐÔ Error, Îó²î/´íÎó Error of estimate, ¹À¼ÆÎó²î Error type I, µÚÒ»Àà´íÎó Error type II, µÚ¶þÀà´íÎó Estimand, ±»¹ÀÁ¿ Estimated error mean squares, ¹À¼ÆÎó²î¾ù·½ Estimated error sum of squares, ¹À¼ÆÎó²îƽ·½ºÍ Euclidean distance, ŷʽ¾àÀë Event, ʼþ Event, ʼþ Exceptional data point, Òì³£Êý¾Ýµã Expectation plane, ÆÚÍûÆ½Ãæ Expectation surface, ÆÚÍûÇúÃæ Expected values, ÆÚÍûÖµ Experiment, ʵÑé Experimental sampling, ÊÔÑé³éÑù Experimental unit, ÊÔÑ鵥λ Explanatory variable, ˵Ã÷±äÁ¿ Exploratory data analysis, ̽Ë÷ÐÔÊý¾Ý·ÖÎö Explore Summarize, ̽Ë÷-ÕªÒª Exponential curve, Ö¸ÊýÇúÏß Exponential growth, Ö¸ÊýʽÔö³¤ EXSMOOTH, Ö¸Êýƽ»¬·½·¨ Extended fit, À©³äÄâºÏ Extra parameter, ¸½¼Ó²ÎÊý Extrapolation, ÍâÍÆ·¨ Extreme observation, Ä©¶Ë¹Û²âÖµ Extremes, ¼«¶ËÖµ/¼«Öµ F distribution, F·Ö²¼ F test, F¼ìÑé Factor, ÒòËØ/Òò×Ó Factor analysis, Òò×Ó·ÖÎö Factor Analysis, Òò×Ó·ÖÎö Factor score, Òò×ÓµÃ·Ö Factorial, ½×³Ë Factorial design, ÎöÒòÊÔÑéÉè¼Æ False negative, ¼ÙÒõÐÔ False negative error, ¼ÙÒõÐÔ´íÎó Family of distributions, ·Ö²¼×å Family of estimators, ¹À¼ÆÁ¿×å Fanning, ÉÈÃæ 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Infinitely great, ÎÞÇî´ó Infinitely small, ÎÞÇîС Influence curve, Ó°ÏìÇúÏß Information capacity, ÐÅÏ¢ÈÝÁ¿ Initial condition, ³õʼÌõ¼þ Initial estimate, ³õʼ¹À¼ÆÖµ Initial level, ×î³õˮƽ Interaction, ½»»¥×÷Óà Interaction terms, ½»»¥×÷ÓÃÏî Intercept, ½Ø¾à Interpolation, Äڲ巨 Interquartile range, ËÄ·Öλ¾à Interval estimation, Çø¼ä¹À¼Æ Intervals of equal probability, µÈ¸ÅÂÊÇø¼ä Intrinsic curvature, ¹ÌÓÐÇúÂÊ Invariance, ²»±äÐÔ Inverse matrix, Äæ¾ØÕó Inverse probability, Äæ¸ÅÂÊ Inverse sine transformation, ·´ÕýÏұ任 Iteration, µü´ú Jacobian determinant, ÑſɱÈÐÐÁÐʽ Joint distribution function, ·Ö²¼º¯Êý Joint probability, ÁªºÏ¸ÅÂÊ Joint probability distribution, ÁªºÏ¸ÅÂÊ·Ö²¼ K means method, Öð²½¾ÛÀà·¨ Kaplan-Meier, ÆÀ¹ÀʼþµÄʱ¼ä³¤¶È Kaplan-Merier chart, Kaplan-Merierͼ Kendall's rank correlation, KendallµÈ¼¶Ïà¹Ø Kinetic, ¶¯Á¦Ñ§ Kolmogorov-Smirnove test, ¿Â¶ûΏçÂå·ò-˹Ã×¶ûŵ·ò¼ìÑé Kruskal and Wallis test, Kruskal¼°Wallis¼ìÑé/¶àÑù±¾µÄÖȺͼìÑé/H¼ìÑé Kurtosis, ·å¶È Lack of fit, ʧÄâ Ladder of powers, Ãݽ×ÌÝ Lag, 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scale family, λÖó߶È×å Log rank test, ʱÐò¼ìÑé Logarithmic curve, ¶ÔÊýÇúÏß Logarithmic normal distribution, ¶ÔÊýÕý̬·Ö²¼ Logarithmic scale, ¶ÔÊý³ß¶È Logarithmic transformation, ¶ÔÊý±ä»» Logic check, Âß¼¼ì²é Logistic distribution, Âß¼Ë¹ÌØ·Ö²¼ Logit transformation, Logitת»» LOGLINEAR, ¶àάÁÐÁª±íͨÓÃÄ£ÐÍ Lognormal distribution, ¶ÔÊýÕý̬·Ö²¼ Lost function, Ëðʧº¯Êý Low correlation, µÍ¶ÈÏà¹Ø Lower limit, ÏÂÏÞ Lowest-attained variance, ×îС¿É´ï·½²î LSD, ×îСÏÔÖø²î·¨µÄ¼ò³Æ Lurking variable, DZÔÚ±äÁ¿ [ Last edited by Åùö¨Ðý·ç on 2006-12-9 at 11:09 ] |
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M-R Main effect, Ö÷ЧӦ Major heading, Ö÷´Ç±êÄ¿ Marginal density function, ±ßÔµÃܶȺ¯Êý Marginal probability, ±ßÔµ¸ÅÂÊ Marginal probability distribution, ±ßÔµ¸ÅÂÊ·Ö²¼ Matched data, Åä¶Ô×ÊÁÏ Matched distribution, Æ¥Åä¹ý·Ö²¼ Matching of distribution, ·Ö²¼µÄÆ¥Åä Matching of transformation, ±ä»»µÄÆ¥Åä Mathematical expectation, ÊýѧÆÚÍû Mathematical model, ÊýѧģÐÍ Maximum L-estimator, ¼«´ó¼«Ð¡L ¹À¼ÆÁ¿ Maximum likelihood method, ×î´óËÆÈ»·¨ Mean, ¾ùÊý Mean squares between groups, ×é¼ä¾ù·½ Mean squares within group, ×éÄÚ¾ù·½ Means (Compare means), ¾ùÖµ-¾ùÖµ±È½Ï Median, ÖÐλÊý Median effective dose, °ëÊýЧÁ¿ Median lethal dose, °ëÊýÖÂËÀÁ¿ Median polish, ÖÐλÊýƽ»¬ Median test, ÖÐλÊý¼ìÑé Minimal sufficient statistic, ×îС³ä·Öͳ¼ÆÁ¿ Minimum distance estimation, ×îС¾àÀë¹À¼Æ Minimum effective dose, ×îСÓÐЧÁ¿ Minimum lethal dose, ×îСÖÂËÀÁ¿ Minimum variance estimator, ×îС·½²î¹À¼ÆÁ¿ MINITAB, ͳ¼ÆÈí¼þ°ü Minor heading, ±ö´Ê±êÄ¿ Missing data, ȱʧֵ Model specification, Ä£Ð͵ÄÈ·¶¨ Modeling Statistics , Ä£ÐÍͳ¼Æ Models for outliers, ÀëȺֵģÐÍ Modifying the model, Ä£Ð͵ÄÐÞÕý Modulus of continuity, Á¬ÐøÐÔÄ£ Morbidity, ·¢²¡ÂÊ Most favorable configuration, ×îÓÐÀû¹¹ÐÎ Multidimensional Scaling (ASCAL), ¶àά³ß¶È/¶àά±ê¶È Multinomial Logistic Regression , ¶àÏîÂ߼˹µÙ»Ø¹é Multiple comparison, ¶àÖØ±È½Ï Multiple correlation , ¸´Ïà¹Ø Multiple covariance, ¶àԪз½²î Multiple linear regression, ¶àÔªÏßÐԻعé Multiple response , ¶àÖØÑ¡Ïî Multiple solutions, ¶à½â Multiplication theorem, ³Ë·¨¶¨Àí Multiresponse, ¶àÔªÏìÓ¦ Multi-stage sampling, ¶à½×¶Î³éÑù Multivariate T distribution, ¶àÔªT·Ö²¼ Mutual exclusive, »¥²»ÏàÈÝ Mutual independence, »¥Ïà¶ÀÁ¢ Natural boundary, ×ÔÈ»±ß½ç Natural dead, ×ÔÈ»ËÀÍö Natural zero, ×ÔÈ»Áã Negative correlation, ¸ºÏà¹Ø Negative linear correlation, ¸ºÏßÐÔÏà¹Ø Negatively skewed, ¸ºÆ« Newman-Keuls method, q¼ìÑé NK method, q¼ìÑé No statistical significance, ÎÞͳ¼ÆÒâÒå Nominal variable, ÃûÒå±äÁ¿ Nonconstancy of variability, ±äÒìµÄ·Ç¶¨³£ÐÔ Nonlinear regression, ·ÇÏßÐÔÏà¹Ø Nonparametric statistics, ·Ç²ÎÊýͳ¼Æ Nonparametric test, ·Ç²ÎÊý¼ìÑé Nonparametric tests, ·Ç²ÎÊý¼ìÑé Normal deviate, Õý̬Àë²î Normal distribution, Õý̬·Ö²¼ Normal equation, Õý¹æ·½³Ì×é Normal ranges, Õý³£·¶Î§ Normal value, Õý³£Öµ Nuisance parameter, ¶àÓà²ÎÊý/ÌÖÑá²ÎÊý Null hypothesis, ÎÞЧ¼ÙÉè Numerical¡¡variable, ÊýÖµ±äÁ¿ Objective function, Ä¿±êº¯Êý Observation unit, ¹Û²ìµ¥Î» Observed value, ¹Û²ìÖµ One sided test, µ¥²à¼ìÑé One-way analysis of variance, µ¥ÒòËØ·½²î·ÖÎö Oneway ANOVA , µ¥ÒòËØ·½²î·ÖÎö Open sequential trial, ¿ª·ÅÐÍÐò¹áÉè¼Æ Optrim, ÓÅÇÐβ Optrim efficiency, ÓÅÇÐβЧÂÊ Order statistics, ˳Ðòͳ¼ÆÁ¿ Ordered¡¡categories, ÓÐÐò·ÖÀà Ordinal logistic regression , ÐòÊýÂ߼˹µÙ»Ø¹é Ordinal variable, ÓÐÐò±äÁ¿ Orthogonal basis, Õý½»»ù Orthogonal design, Õý½»ÊÔÑéÉè¼Æ Orthogonality conditions, Õý½»Ìõ¼þ ORTHOPLAN, Õý½»Éè¼Æ Outlier cutoffs, ÀëȺֵ½Ø¶Ïµã Outliers, ¼«¶ËÖµ OVERALS , ¶à×é±äÁ¿µÄ·ÇÏßÐÔÕý¹æÏà¹Ø Overshoot, µü´ú¹ý¶È Paired design, Åä¶ÔÉè¼Æ Paired sample, Åä¶ÔÑù±¾ Pairwise slopes, ³É¶ÔбÂÊ Parabola, Å×ÎïÏß Parallel tests, ƽÐÐÊÔÑé Parameter, ²ÎÊý Parametric statistics, ²ÎÊýͳ¼Æ Parametric test, ²ÎÊý¼ìÑé Partial correlation, Æ«Ïà¹Ø Partial regression, Æ«»Ø¹é Partial sorting, Æ«ÅÅÐò Partials residuals, Æ«²Ð²î Pattern, ģʽ Pearson curves, Ƥ¶ûÑ·ÇúÏß Peeling, Í˲ã Percent bar graph, °Ù·ÖÌõÐÎͼ Percentage, °Ù·Ö±È Percentile, °Ù·ÖλÊý Percentile curves, °Ù·ÖλÇúÏß Periodicity, ÖÜÆÚÐÔ Permutation, ÅÅÁÐ P-estimator, P¹À¼ÆÁ¿ Pie graph, ±ýͼ Pitman estimator, Æ¤ÌØÂü¹À¼ÆÁ¿ Pivot, ÊàÖáÁ¿ Planar, ƽ̹ Planar assumption, Æ½ÃæµÄ¼ÙÉè PLANCARDS, Éú³ÉÊÔÑéµÄ¼Æ»®¿¨ Point estimation, µã¹À¼Æ Poisson distribution, ²´ËÉ·Ö²¼ Polishing, ƽ»¬ Polled standard deviation, ºÏ²¢±ê×¼²î Polled variance, ºÏ²¢·½²î Polygon, ¶à±ßͼ Polynomial, ¶àÏîʽ Polynomial curve, ¶àÏîʽÇúÏß Population, ×ÜÌå Population attributable risk, ÈËȺ¹éÒòΣÏÕ¶È Positive correlation, ÕýÏà¹Ø Positively skewed, ÕýÆ« Posterior distribution, ºóÑé·Ö²¼ Power of a test, ¼ìÑéЧÄÜ Precision, ¾«ÃÜ¶È Predicted value, Ô¤²âÖµ Preliminary analysis, Ô¤±¸ÐÔ·ÖÎö Principal component analysis, Ö÷³É·Ö·ÖÎö Prior distribution, ÏÈÑé·Ö²¼ Prior probability, ÏÈÑé¸ÅÂÊ Probabilistic model, ¸ÅÂÊÄ£ÐÍ probability, ¸ÅÂÊ Probability density, ¸ÅÂÊÃÜ¶È Product moment, ³Ë»ý¾Ø/з½²î Profile trace, ½ØÃ漣ͼ Proportion, ±È/¹¹³É±È Proportion allocation in stratified random sampling, °´±ÈÀý·Ö²ãËæ»ú³éÑù Proportionate, ³É±ÈÀý Proportionate sub-class numbers, ³É±ÈÀý´Î¼¶×麬Á¿ Prospective study, ǰհÐÔµ÷²é Proximities, Ç×½üÐÔ Pseudo F test, ½üËÆF¼ìÑé Pseudo model, ½üËÆÄ£ÐÍ Pseudosigma, α±ê×¼²î Purposive sampling, ÓÐÄ¿µÄ³éÑù QR decomposition, QR·Ö½â Quadratic approximation, ¶þ´Î½üËÆ Qualitative classification, ÊôÐÔ·ÖÀà Qualitative method, ¶¨ÐÔ·½·¨ Quantile-quantile plot, ·ÖλÊý-·ÖλÊýͼ/Q-Qͼ Quantitative analysis, ¶¨Á¿·ÖÎö Quartile, ËÄ·ÖλÊý Quick Cluster, ¿ìËÙ¾ÛÀà Radix sort, »ùÊýÅÅÐò Random allocation, Ëæ»ú»¯·Ö×é Random blocks design, Ëæ»úÇø×éÉè¼Æ Random event, Ëæ»úʼþ Randomization, Ëæ»ú»¯ Range, ¼«²î/È«¾à Rank correlation, µÈ¼¶Ïà¹Ø Rank sum test, ÖȺͼìÑé Rank test, ÖȼìÑé Ranked data, µÈ¼¶×ÊÁÏ Rate, ±ÈÂÊ Ratio, ±ÈÀý Raw 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error, ³éÑùÎó²î SAS(Statistical analysis system ), SASͳ¼ÆÈí¼þ°ü Scale, ³ß¶È/Á¿±í Scatter diagram, É¢µãͼ Schematic plot, ʾÒâͼ/¼òͼ Score test, ¼Æ·Ö¼ìÑé Screening, ɸ¼ì SEASON, ¼¾½Ú·ÖÎö Second derivative, ¶þ½×µ¼Êý Second principal component, µÚ¶þÖ÷³É·Ö SEM (Structural equation modeling), ½á¹¹»¯·½³ÌÄ£ÐÍ Semi-logarithmic graph, °ë¶ÔÊýͼ Semi-logarithmic paper, °ë¶ÔÊý¸ñÖ½ Sensitivity curve, Ãô¸Ð¶ÈÇúÏß Sequential analysis, ¹áÐò·ÖÎö Sequential data set, ˳ÐòÊý¾Ý¼¯ Sequential design, ¹áÐòÉè¼Æ Sequential method, ¹áÐò·¨ Sequential test, ¹áÐò¼ìÑé·¨ Serial tests, ϵÁÐÊÔÑé Short-cut method, ¼ò½Ý·¨ Sigmoid curve, SÐÎÇúÏß Sign function, Õý¸ººÅº¯Êý Sign test, ·ûºÅ¼ìÑé Signed rank, ·ûºÅÖÈ Significance test, ÏÔÖøÐÔ¼ìÑé Significant figure, ÓÐЧÊý×Ö Simple cluster sampling, ¼òµ¥ÕûȺ³éÑù Simple correlation, ¼òµ¥Ïà¹Ø Simple random sampling, ¼òµ¥Ëæ»ú³éÑù Simple regression, ¼òµ¥»Ø¹é simple table, ¼òµ¥±í Sine estimator, ÕýÏÒ¹À¼ÆÁ¿ Single-valued estimate, µ¥Öµ¹À¼Æ Singular matrix, ÆæÒì¾ØÕó Skewed distribution, ƫб·Ö²¼ Skewness, Æ«¶È Slash distribution, бÏß·Ö²¼ Slope, бÂÊ Smirnov test, ˹Ã×¶ûŵ·ò¼ìÑé Source of variation, ±äÒìÀ´Ô´ Spearman rank correlation, ˹Ƥ¶ûÂüµÈ¼¶Ïà¹Ø Specific factor, ÌØÊâÒò×Ó Specific factor variance, ÌØÊâÒò×Ó·½²î Spectra , ƵÆ× Spherical distribution, ÇòÐÍÕý̬·Ö²¼ Spread, Õ¹²¼ SPSS(Statistical package for the social science), SPSSͳ¼ÆÈí¼þ°ü Spurious correlation, ¼ÙÐÔÏà¹Ø Square root transformation, ƽ·½¸ù±ä»» Stabilizing variance, Îȶ¨·½²î Standard deviation, ±ê×¼²î Standard error, ±ê×¼Îó Standard error of difference, ²î±ðµÄ±ê×¼Îó Standard error of estimate, ±ê×¼¹À¼ÆÎó²î Standard error of rate, Âʵıê×¼Îó Standard normal distribution, ±ê×¼Õý̬·Ö²¼ Standardization, ±ê×¼»¯ Starting value, Æðʼֵ Statistic, ͳ¼ÆÁ¿ Statistical control, ͳ¼Æ¿ØÖÆ Statistical graph, ͳ¼ÆÍ¼ Statistical inference, ͳ¼ÆÍÆ¶Ï Statistical table, ͳ¼Æ±í Steepest descent, ×îËÙϽµ·¨ Stem and leaf display, ¾¥Ò¶Í¼ Step factor, ²½³¤Òò×Ó Stepwise regression, Ö𲽻عé Storage, ´æ Strata, ²ã£¨¸´Êý£© Stratified sampling, ·Ö²ã³éÑù Stratified sampling, ·Ö²ã³éÑù Strength, Ç¿¶È Stringency, ÑÏÃÜÐÔ Structural relationship, ½á¹¹¹ØÏµ Studentized residual, ѧÉú»¯²Ð²î/t»¯²Ð²î Sub-class numbers, ´Î¼¶×麬Á¿ Subdividing, ·Ö¸î Sufficient statistic, ³ä·Öͳ¼ÆÁ¿ Sum of products, »ýºÍ Sum of squares, Àë²îƽ·½ºÍ Sum of squares about regression, »Ø¹éƽ·½ºÍ Sum of squares between groups, ×é¼äƽ·½ºÍ Sum of squares of partial regression, Æ«»Ø¹éƽ·½ºÍ Sure event, ±ØÈ»Ê¼þ Survey, µ÷²é Survival, Éú´æ·ÖÎö Survival rate, Éú´æÂÊ Suspended root gram, Ðüµõ¸ùͼ Symmetry, ¶Ô³Æ Systematic error, ϵͳÎó²î Systematic sampling, ϵͳ³éÑù Tags, ±êÇ© Tail area, β²¿Ãæ»ý Tail length, ⳤ Tail weight, Î²ÖØ Tangent line, ÇÐÏß Target distribution, Ä¿±ê·Ö²¼ Taylor series, Ì©ÀÕ¼¶Êý Tendency¡¡of¡¡dispersion, ÀëÉ¢Ç÷ÊÆ Testing of hypotheses, ¼ÙÉè¼ìÑé Theoretical frequency, ÀíÂÛÆµÊý Time series, ʱ¼äÐòÁÐ Tolerance interval, ÈÝÈÌÇø¼ä Tolerance lower limit, ÈÝÈÌÏÂÏÞ Tolerance upper limit, ÈÝÈÌÉÏÏÞ Torsion, ÈÅÂÊ Total sum of square, ×ÜÆ½·½ºÍ Total variation, ×ܱäÒì Transformation, ת»» Treatment, ´¦Àí Trend, Ç÷ÊÆ Trend of percentage, °Ù·Ö±ÈÇ÷ÊÆ Trial, ÊÔÑé Trial and error method, ÊÔ´í·¨ Tuning constant, ϸµ÷³£Êý Two sided test, Ë«Ïò¼ìÑé Two-stage least squares, ¶þ½××îСƽ·½ Two-stage sampling, ¶þ½×¶Î³éÑù Two-tailed test, Ë«²à¼ìÑé Two-way analysis of variance, Ë«ÒòËØ·½²î·ÖÎö Two-way table, Ë«Ïò±í Type I error, Ò»Àà´íÎó/¦Á´íÎó Type II error, ¶þÀà´íÎó/¦Â´íÎó UMVU, ·½²îÒ»ÖÂ×îСÎÞÆ«¹À¼Æ¼ò³Æ Unbiased estimate, ÎÞÆ«¹À¼Æ Unconstrained nonlinear regression , ÎÞÔ¼Êø·ÇÏßÐԻعé Unequal subclass number, ²»µÈ´Î¼¶×麬Á¿ Ungrouped data, ²»·Ö×é×ÊÁÏ Uniform coordinate, ¾ùÔÈ×ø±ê Uniform distribution, ¾ùÔÈ·Ö²¼ Uniformly minimum variance unbiased estimate, ·½²îÒ»ÖÂ×îСÎÞÆ«¹À¼Æ Unit, µ¥Ôª Unordered¡¡categories, ÎÞÐò·ÖÀà Upper limit, ÉÏÏÞ Upward rank, ÉýÖÈ Vague concept, Ä£ºý¸ÅÄî Validity, ÓÐЧÐÔ VARCOMP (Variance component estimation), ·½²îÔªËØ¹À¼Æ Variability, ±äÒìÐÔ Variable, ±äÁ¿ Variance, ·½²î Variation, ±äÒì Varimax orthogonal rotation, ·½²î×î´óÕý½»Ðýת Volume of distribution, ÈÝ»ý W test, W¼ìÑé Weibull distribution, Íþ²¼¶û·Ö²¼ Weight, ȨÊý Weighted Chi-square test, ¼ÓȨ¿¨·½¼ìÑé/Cochran¼ìÑé Weighted linear regression method, ¼ÓȨֱÏ߻عé Weighted mean, ¼ÓȨƽ¾ùÊý Weighted mean square, ¼ÓȨƽ¾ù·½²î Weighted sum of square, ¼ÓȨƽ·½ºÍ Weighting coefficient, È¨ÖØÏµÊý Weighting method, ¼ÓȨ·¨ W-estimation, W¹À¼ÆÁ¿ W-estimation of location, λÖÃW¹À¼ÆÁ¿ Width, ¿í¶È Wilcoxon paired test, Íþ˹¿µÐÇÅä¶Ô·¨/Åä¶Ô·ûºÅÖȺͼìÑé Wild point, Ò°µã/¿ñµã Wild value, Ò°Öµ/¿ñÖµ Winsorized mean, Ëõβ¾ùÖµ Withdraw, ʧ·Ã Youden's index, ÓȵÇÖ¸Êý Z test, Z¼ìÑé Zero correlation, ÁãÏà¹Ø Z-transformation, Z±ä»» Ï£ÍûÉÏÃæÕâЩ¶Ô¸÷λ³æ³æÐ´×÷ÉÏÓÐËù°ïÖú£¬¾õµÄºÃµÄ»°£¬Ò»¶¨Òª¶¥Æð¹þ£¡ [ Last edited by museum on 2005-12-16 at 16:09 ] |
2Â¥2005-12-16 16:07:33
truegate
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3Â¥2005-12-16 16:09:12
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0.5
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5Â¥2006-01-08 10:12:13
yougke
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lirongrong
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