This book will present the latest theoretical and practical developments in multivariate analysis, with an emphasis on applications to social science.

Includes supplementary material: sn.pub/extras

Autorentext

"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

Inhalt
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.