Ebook: Theory of multivariate statistics
Author: Martin Bilodeau David Brenner
- Series: Springer texts in statistics
- Year: 1999
- Publisher: Springer
- City: New York
- Language: English
- pdf
1. Linear algebra --
2. Random vectors --
3. Gamma, Dirichlet, and F distributions --
4. Invariance --
5. Multivariate normal --
6. Multivariate sampling --
7. Wishart distributions --
8. Tests on mean and variance --
9. Multivariate regression --
10. Principal components --
11. Canonical correlations --
12. Asymptotic expansions --
13. Robustness --
14. Bootstrap confidence regions and tests --
A. Inversion formulas --
B. Multivariate cumulants --
C. S-plus functions
2. Random vectors --
3. Gamma, Dirichlet, and F distributions --
4. Invariance --
5. Multivariate normal --
6. Multivariate sampling --
7. Wishart distributions --
8. Tests on mean and variance --
9. Multivariate regression --
10. Principal components --
11. Canonical correlations --
12. Asymptotic expansions --
13. Robustness --
14. Bootstrap confidence regions and tests --
A. Inversion formulas --
B. Multivariate cumulants --
C. S-plus functions
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