An introduction to multivariate statistical analysis /

Bibliographic Details
Main Author: Anderson, Theodore Wilbur, 1918-
Format: Book
Language:English
Published: New York, N.Y. : John Wiley, 1958
Series:Wiley publications in mathematical statistics.
Subjects:
Online Access:Libro digial de la 3a ed. (2003)
Table of Contents:
  • 1. Introduction
  • 2. The multivariate normal distribution
  • 3. Estimation of the mean vector and the covariance matrix
  • 4. The distributions and uses of sample correlation coefficients
  • 5. The generalized t2-statistic
  • 6. Classification of observations
  • 7. The distribution of the smaple covariance matrix and the sample generalized variance
  • 8. Testing the general linear hypothesis: analysis of variance
  • 9. Testing independence of sets variates
  • 10. Testing hypotheses of quality of covariance matrices and equality of mean vectors and covariance matrices
  • 11. Principal components
  • 12. Canonical correlations and canonical variables
  • 13. The distribution of certain characteristic roots and vectors that do not depend of parameters
  • 14. A review of some other work in multivariate analysis
  • Appendix: matrix theory.