Description: "The authors?intention is to present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners who are confronted by statistical data analysis ?. The book has a friendly yet rigorous style. All methods are demonstrated through numerous real examples. Mathematical results are clearly stated ?. All chapters contain numerous theoretical and practical exercises. ?it can be said that the authors have fully attained their goals." (Ricardo Maronna, Statistical Papers, Vol. 46 (1), 2005)

"This textbook gives a broad and modern introduction to statistics for multivariate data. A bunch of interesting examples is used to illustrate the techniques. ?All chapters are finished by memorable summaries subsuming the main results and a couple of exercises. The mathematical background and derivations are concise, while practical aspects like computation and visualization are stressed using detailed examples. ?I consider the book to be an excellent starting point for everybody interested in learning about statistical methods for multivariable data sets." (R. Fried, Metrika, 2006)

"The mathematics and statistical theory is at the graduate statistics level, and at that level, this book is superb. ?Many of the applications ?are packed with graphical presentations and are very informative and interesting to read. The exercises would be acceptable for classroom purposes. ?it would serve well as a reference to a �mathematically mature?person already familiar with multivariate methods. The e-book version makes the work particularly valuable as a reference." (Charles E. Heckler, Technometrics, Vol. 47 (4), 2005)