Multivariate ObservationsISBN: 978-0-471-69121-1
Paperback
686 pages
August 2004
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"In recent years many monographs have been published on
specialized aspects of multivariate data-analysis–on cluster
analysis, multidimensional scaling, correspondence analysis,
developments of discriminant analysis, graphical methods,
classification, and so on. This book is an attempt to review these
newer methods together with the classical theory. . . . This one
merits two cheers."
–J. C. Gower, Department of Statistics
Rothamsted Experimental Station, Harpenden, U.K.
Review in Biometrics, June 1987
Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references.