Computer-Aided Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

This book has been written for investigators, specifically behavioral scientists, biomedical scientists, industrial or academic researchers who wish to perform multivariate statistical analyses on their data and understand the results. lt has been written so that it can either be used as a self-guided textbook or as a text in an applied course in multivariate analysis. In addition, we believe that the book will be helpful to many statisticians who have been trained in conventional mathematical statistics who are now working as statistical consultants and need to give explanations to clients who Iack sufficient background in mathematics. We do not present mathematical derivations ofthe techniques in this book; rather we rely on geometric and graphical arguments and on examples to illustrate them. The mathematicallevel has been kept deliberately low, with no mathematics beyond the high-school Ievel required. The derivations of the techniques are referenced. The original derivations for most of the current techniques were done 50 years ago so we feel that the applications of these techniques to real-life problems is the 'fun' part now. We have assumed that the reader has taken a basic course in statistics that includes test of hypotheses. Many computer programs use analysis of variance and that part of the results of the program can only be understood if the reader is familiar with one-way analysis of variance.

For the past 20 years, whenever I had and occasion to review a multivariate method...this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf.
-Technometrics, November 2004

This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library...it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians.
-Zentralblatt MATH 105

This is a text for a broad spectrum of researchers....who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations.
-Journal of the RSS, Vol. 168, 2005

A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and SSTATISTICA.
-Statistics in Medicine, 2005