“This book will be enjoyed by those who wish to understand the current state of multivariate statistical analysis in an age of high-speed computation and large data sets. … persons interested in learning new trends of multivariate methods would find Izenman’s book very helpful. … The full-color graphics is quite impressive – well done! There are numerous real-data examples from many scientific disciplines so that not only statisticians may find this book useful and interesting.” (Simo Puntanen, International Statistical Review, Vol. 76 (3), 2008)

“The book describes how to manage data for maintaining and querying large databases. … I recommend this book for advanced students in statistics and related profiles as, computer science, artificial intelligence, cognitive sciences, bio-informatics, and the involved different branches of engineering. More than 60 data sets are used for working out as examples. More than 200 exercises are presented in the book.” (J. A. Rouen, Revista Investigación Operacional, Vol. 30 (2), 2009)

“For the first time in a book on multivariate analysis, nonlinear as well as linear methods are discussed in detail. … Another unique feature of this book is the discussion of database management systems. This book is appropiate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics and engineering. … The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods.” (T. Postelnicu, Zentralblatt MATH, Vol. 1155, 2009)

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