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目次

*(NOTE: Each chapter begins with an Introduction, and concludes withExercises and References)*I. GETTING STARTED*Aspects of MultivariateAnalysis*Matrix Algebra and Random Vectors*Sample Geometry and RandomSampling*The Multivariate Normal Distribution*II. INFERENCES ABOUTMULTIVARIATE MEANS AND LINEAR MODELS*Inferences about a MeanVector*Comparisons of Several Multivariate Means*Multivariate LinearRegression Models*III. ANALYSIS OF COVARIANCE STRUCTURE*PrincipalComponents*Factor Analysis and Inference for Structured CovarianceMatrices*Canonical Correlation Analysis*IV. CLASSIFICATION AND GROUPINGTECHNIQUES*Discrimination and Classification*Clustering, DistanceMethods and Ordination*Appendix*Data Index*Subject Index