Apple Reference & Presentation Library 1994 January (Partner)

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Text File | 1994-04-29 | 6KB | 477 lines

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