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An introduction to Multivariate Statistical Analysis

An introduction to Multivariate Statistical Analysis

T.W. Anderson

722 pages, parution le 20/08/2003 (3eme édition)

Résumé

A classic comprehensive sourcebook, now fully updated

For more than four decades An Introduction to Multivariate Statistical Analysis has been an invaluable text for students and a resource for professionals wishing to acquire a basic knowledge of multivariate statistical analysis. Since the previous edition, the field has grown significantly. This updated and improved Third Edition familiarizes readers with these new advances, elucidating several aspects that are particularly relevant to methodology and comprehension.

The Third Edition features new or more extensive coverage of:

  • Patterns of Dependence and Graphical Models–a new chapter
  • Measures of correlation and tests of independence
  • Reduced rank regression, including the limited-information maximum-likelihood estimator of an equation in a simultaneous equations model
  • Elliptically contoured distributions

Incorporation of the advice and comments of the readers of the first two editions as well as extensively classroom-tested techniques and calculations makes An Introduction to Multivariate Statistical Analysis, Third Edition, more valuable than ever for both professional statisticians and students of multivariate statistics.

Contents

  • Introduction
  • The Multivariate Normal Distribution
  • Estimation of the Mean Vector and the Covariance Matrix
  • The Distributions and Uses of Sample Correlation Coefficients
  • The Generalized T2-Statistic
  • Classification of Observations
  • The Distribution of the Sample Covariance Matrix and the Sample Generalized Variance
  • Testing the General Linear Hypothesis: Multivariate Analysis of Variance
  • Testing Independence of Sets of Variates
  • Testing Hypotheses of Equality of Covariance Matrices and Equality of Mean Vectors and Covariance Matrices
  • Principal Components
  • Cononical Correlations and Cononical Variables
  • The Distributions of Characteristic Roots and Vectors
  • Factor Analysis
  • Pattern of Dependence; Graphical Models
  • Appendix A: Matrix Theory
  • Appendix B: Tables

L'auteur - T.W. Anderson

Anderson, T.W., Stanford University, Stanford, CA, USA;

Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) T.W. Anderson
Parution 20/08/2003
Édition  3eme édition
Nb. de pages 722
Format 16 x 24
Couverture Broché
Poids 1150g
Intérieur Noir et Blanc
EAN13 9780471360919
ISBN13 978-0-471-36091-9

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