Principles of Multivariate Analysis: A User's Perspective

Krzanowski, W. J.

ISBN 10: 0198507089 / ISBN 13: 9780198507086

Editore: Oxford University Press, Usa, 2000

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This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780198507086. Codice articolo 4127873

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Titolo: Principles of Multivariate Analysis: A ...

Casa editrice: Oxford University Press, Usa

Data di pubblicazione: 2000

Legatura: Brossura

Condizione: Good

Edizione: seconda edizione

Descrizione articolo

Riassunto:

This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.

Recensione:

"This is an excellent book...Theoretical as well as applied statisticians should keep it in their collection." (Journal of Statistical Computation and Simulation)

" ... it should serve as an excellent reference for anyone interested in multivariate methods." (Journal American Statistical Association)