Multivariate Statistical Methods: A Primer / Edition 2

Multivariate Statistical Methods: A Primer / Edition 2

by Bryan F.J. Manly, Bryan F.J. Manley, B. F. Manly
     
 

ISBN-10: 0412603004

ISBN-13: 9780412603006

Pub. Date: 07/01/1994

Publisher: Taylor & Francis

Multivariate Statistical Methods: A Primer introduces multivariate methods to non-mathematicians and provides a general overview without overwhelming the novice with comprehensive details. This third edition is a thoroughly revised and updated version of a best-selling introductory textbook and primer. It retains the author's trademark clear, concise style and focuses…  See more details below

Overview

Multivariate Statistical Methods: A Primer introduces multivariate methods to non-mathematicians and provides a general overview without overwhelming the novice with comprehensive details. This third edition is a thoroughly revised and updated version 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 readers 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 provides a timely introduction to useful tools for statistical analysis.

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Product Details

ISBN-13:
9780412603006
Publisher:
Taylor & Francis
Publication date:
07/01/1994
Edition description:
Older Edition
Pages:
232
Product dimensions:
5.56(w) x 8.44(h) x 0.50(d)

Related Subjects

Table of Contents

Ch. 1The material of multivariate analysis1
Ch. 2Matrix algebra17
Ch. 3Displaying multivariate data27
Ch. 4Tests of significance with multivariate data35
Ch. 5Measuring and testing multivariate distances59
Ch. 6Principal components analysis75
Ch. 7Factor analysis91
Ch. 8Discriminant function analysis105
Ch. 9Cluster analysis125
Ch. 10Canonical correlation analysis143
Ch. 11Multidimensional scaling163
Ch. 12Ordination177
Ch. 13Epilogue201
AppComputer packages for multivariate analyses205

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