This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.
"This book is more than an up-to-date textbook on multivariate analysis. It could enable SAS users to take full and informed advantage of the many options offered in the SAS procedures. For non-SAS users, the clear statement of the models should enable them to fit and interpret them with other software." ISI Short Book Reviews, Vol. 23/2, August 2003
Introduction * Vectors and Matrices * Multivariate Distributions and the Linear Model * Multivariate Regression Models * Seemingly Unrelated Regression Models * Multivariate Random and Mixed Models * Discriminant and Classification Analysis * Principal Component, Canonical Correlation, and Exploratory Factor Analysis * Cluster Analysis and Multidimensional Scaling * Structural Equation Models