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In den WarenkorbZustand: New. pp. xx + 686 Illus.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. GEORGE A. F. SEBER is a Professor in the Department of Statistics at The University of Auckland in New Zealand.WILEY-INTERSCIENCE PAPERBACK SERIESThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to c.
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In den WarenkorbPaperback. Zustand: Brand New. 686 pages. 8.75x6.00x1.25 inches. In Stock.
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In den WarenkorbZustand: New. Gives a treatment of data oriented techniques as well as classical methods. This sourcebook emphasizes principles rather than mathematical detail, and the coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. Series: Wiley Series in Probability and Statistics. Num Pages: 686 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 231 x 153 x 32. Weight in Grams: 823. . 2004. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - WILEY-INTERSCIENCE PAPERBACK SERIESThe 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 StatisticsRothamsted Experimental Station, Harpenden, U.K.Review in Biometrics, June 1987Multivariate 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.
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Zustand: gut. Multivariate Observations In englischer Sprache. pages.