An introduction to multivariate statistical analysis T.W. Anderson.
Material type:
TextLanguage: English Series: Wiley series in probability and statisticsPublication details: Hoboken, N.J. : Wiley-Interscience, c2003.Edition: 3rd edDescription: xx, 721 p. : ill. ; 25 cmISBN: - 9780471360919
- R 519.535 AND(INT)Ed3
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
REFERENCE STATISTICS
|
St. Xavier's University, Kolkata Reference Section | Reference | R 519.535 AND(INT)Ed3 (Browse shelf(Opens below)) | 8399 | Not For Loan | US8399 |
Preface to the Third Edition.
Preface to the Second Edition.
Preface to the First Edition.
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 Sample Covariance Matrix and the Sample Generalized Variance.
8. Testing the General Linear Hypothesis: Multivariate Analysis of Variance
9. Testing Independence of Sets of Variates.
10. Testing Hypotheses of Equality of Covariance Matrices and Equality of Mean Vectors and Covariance Matrices.
11. Principal Components.
12. Cononical Correlations and Cononical Variables.
13. The Distributions of Characteristic Roots and Vectors.
14. Factor Analysis.
15. Pattern of Dependence; Graphical Models.
Appendix A: Matrix Theory.
Appendix B: Tables.
References.
Index.
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