Overview

Multivariate methods are now widely used by scientists in quantitative sciences and statistics due to the ready availability of computer packages for performing the calculations. Access to suitable computer software is essential to using these methods, however a working knowledge of how multivariate statistical methods can be used is a prerequisite to the use of any brand of software. Multivariate Statistical Methods: A Primer introduces the methods to non-mathematicians and provides a general overview without overwhelming the novice with comprehensive details.This third edition is a thoroughly revised, updated edition of a best-selling introductory textbook and primer. It retains the author's trademark clear, concise style and focuses on examples in the biological and environmental sciences. Topics new to this edition include confirmatory factor analysis, the use of mixture models for cluster analysis, and the emerging techniques of data mining and neural networks. While not linked to any specific software package, the book now includes an appendix comparing and contrasting various statistical software packages, such as Stata, Statistica, SAS, and Genstat. The author also notes which software was used for a particular example, when appropriate.In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book will bring you up to speed with useful tools for statistical analysis.

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9781584884149

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The previous edition (2E) was reviewed by Nemeth (1997), who was enthusiastic about the book's role as 'an excellent, easy-to-read introduction to the analysis of multivariate data'Her summary continues to work just fine for this new editionChapter summaries, always a nice feature, have been added throughoutthis is a nice book to have around to loan to people who are just getting started in multivariate analysis.

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