Multivariate Observations P Paperback - 2004
by Seber
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- Paperback
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Details
- Title Multivariate Observations P
- Author Seber
- Binding Paperback
- Condition New
- Pages 720
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 2004-08-24
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # ria9780471691211_inp
- ISBN 9780471691211 / 0471691216
- Weight 1.9 lbs (0.86 kg)
- Dimensions 8.9 x 5.9 x 1.3 in (22.61 x 14.99 x 3.30 cm)
- Category Mathematics
- Library of Congress subjects Multivariate analysis
- Library of Congress Catalogue Number 2005270830
- Dewey Decimal Code 519.535
- Quantity available 269
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From the rear cover
WILEY-INTERSCIENCE PAPERBACK SERIES
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.
