Apple Reference & Presentation Library 1994 January (Partner)

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Text File | 1994-04-29 | 5.7 KB | 477 lines

accelerated failure-time models added-variable Plot (leverage plot) adjusted means adjusted r-square AIC Akaike's Information Criterion analysis of covariance - same slopes analysis of covariance - separate slopes analysis of variance - ANOVA one-way analysis of variance - ANOVA general autocorrelation bar chart Bartlett's test Bayes Plot (Box-Meyer) biplot: Gabriel Box-Behnken design Box-Cox power transformation Box-Meyer Bayes Plot Box-Wilson designs box plot Brown-Forsythe test calibration canonical correlation capability analysis central composite design chi-square - for two-way table of frequencies chi-square - for a general categorical response model cluster analysis collinearity comparison circles confounding contour plot contrasts control charts (Shewhart Charts) Cook's D correlation - two variables correlation - for many variables correspondence analysis Cotter designs counts; see frequency counts Cox Proportional Hazards Model C(p) cross-tabulation cube plot custom tests D-Optimal design search design of experiments desirability profiling discriminant analysis Dunnett‚Äôs test for treatments vs. control Durbin-Watson test ellipses - bivariate density experimental design exponential plot extreme vertices design factor analysis - Little Jiffy factor analysis factorial models failure time Fisher's Exact Test fractional factorial design (2-level) fractional factorial design (3-level) frequency counts - one-way classification frequency counts - 2-way cross-tabulation frequency counts - general Gabriel biplot Generalized Linear Models or GLIM goodness of fit; see lack of fit Greenhouse-Geisser heteroschedasticity hierarchical clustering histogram Hoeffding D homogeneity of variances Hotelling‚Äôs T-squared Hotelling-Lawley Trace Hsu‚Äôs MCB test Huynh-Feldt interaction plots, profile plots (general) interaction plots iteratively-reweighted least squares inverse prediction Kaplan-Meier Survival Estimates Kendall's tau-b Kruskal-Wallis test L18, L36 designs lack of fit least squares means Lenth's Pseudo-standard error Levene's test leverage plot likelihood-ratio Chi-square log-linear models log-logistic survival model log-normal survival model log-rank test (Survival) logistic regression LSD - least significant difference LSN - least significant N LSV - least significant Value Mahalanobis Distance Mallow's C(p) Mann-Whitney U Test MANOVA - multivariate analysis of variance marginal means Mauchly Criterion maximum likelihood maximum r-square means: single population means across groups, one-way layout means across groups, grouping facility median median test mixed-level designs mixed model mixture designs mosaic plot multiple comparisons multiple regression multivariate analysis of variance multivariate analysis multivariate tests multicollinearity needle plot nested designs, effects nonlinear regression nonparametric: Spearman's Rho nonparametric: Kendall's tau-b nonparametric: Hoeffding D nonparametric: Kruskal-Wallis nonparametric: Median test nonparametric: Van der Waerden test nonparametric: Wilcoxon signed-ranks test nonparametric: Wilcoxon 2-group test normal plot normal quantile plot normality: Shapiro-Wilk and KSL tests normality: quantile plot normality: normal curve on histogram O'Brien's test optimal design search ordinal responses ordinal factors ordinal logistic regression orthogonal array design outlier: Mahalanobis distance outlier box plot overlay plots paired t-test Pareto Plot (effects in a model) Pareto chart - general partial correlation - group partial correlation - pairwise partial plot (leverage plot) Pearson Chi-square pie chart Pillai's Trace Plackett-Burman designs plot - scatterplot Poisson regression model polynomial regression post hoc tests power principal components (with biplot) principal components (without biplot) probit model product-limit (Kaplan-Meier) Survival Estimates profile-likelihood confidence intervals profile plots, interaction plots proportional hazards (Cox) Model quantile box plot quantile: single population Q-Q plot, see normality: quantile plot for quantile: across groups random effects regression: logistic regression: multiple regression regression: one regressor regression: polynomial reliability - failure time repeated measures - univariate sphericty-adjusted repeated measures-univariate (mixed-models) repeated measures - multivariate response surface designs response surface methodology robust regression Roy's Maximum Root Criterion r-square r-square - adjusted r-square - maximum sample size scatterplot scatterplot matrix schematic plot screening designs Shapiro-Wilk test for normality Shewhart Charts; signed-rank test simplex centroid design simplex lattice design smoothers - splines Spearman's Rho sphericity test and adjustments spinning plot splines - smoothing standard deviation standardizing step plots stepwise regression Student‚Äôs t: two groups, equal variance Student‚Äôs t: two groups, unequal variance Student‚Äôs t: test that mean=value Student‚Äôs t: test parameter in linear model Student‚Äôs t: Paired survival analysis survival estimates - product limit (Kaplan-Meier) survival - parametric survival models t test: see Student‚Äôs t Taguchi robust parameter design ternary plot three-level designs tobit model Tukey-Kramer HSD test two-level designs types of sums of squares uniform precision, see response surface designs univariate distribution univariate repeated measures Van der Waerden Test variance components variance homogeneity Wald Test Weibull survival model Weibull Plot Welch Anova Wilcoxon signed-ranks test Wilcoxon 2-group test Wilcoxon test (Survival) Wilk's Lambda