Applied Multivariate Analysis, Softcover reprint of the original 1st ed. 2002
Springer Texts in Statistics Series

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.

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