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This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition.
- Sales Rank: #1448468 in Books
- Published on: 2000-12-28
- Original language: English
- Number of items: 1
- Dimensions: 5.90" h x 1.50" w x 8.70" l, 1.91 pounds
- Binding: Paperback
- 608 pages
Review
"This book is an applied multivariate analysis text aimed at the user or potential user of multivariate methods. The author has kept matrix formulas and manipulations to a minimum by replacing derivations with geometrical arguments whenever possible. . . The most important topic covered is basic multivariate distribution theory, with particular attention given to the multivariate normal and Wishart distributions. . . . [I]t should serve as an excellent reference for anyone interested in multivariate methods." -- JASA
About the Author
Established author of texts on statistics.
Most helpful customer reviews
8 of 8 people found the following review helpful.
An invaluable reference book
By A Customer
It's not banal or trivial, without being obscure. It has just the right amount of maths to allow an in-depth understanding of the various techniques, without slipping beyond intelligibility by a non-mathematician user. It seems a good reference book for people with already a basic knowledge of multivariate statistics and the principles underlying it, although an introductory chapter is provided for those who want to dust off their old knowledge of matrixes, etc.
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