Matrix Algebra Useful for StatisticsISBN: 978-0-470-00961-1
Paperback
476 pages
March 2006
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1. Introduction.
2. Basic Operations.
3. Special Matrices.
4. Determinants.
5. Inverse Matrices.
6. Rank.
7. Canonical Forms.
8. Generalized Inverses.
9. Solving Linear Equations.
10. Partitioned Matrices.
11. Eigenvalues and Eigenvectors.
11A. Appendix to Chapter 11.
12. Miscellanea.
13. Applications in Statistics.
14. The Matrix Algebra of Regression Analysis.
15. An Introduction to Linear Statistical Models.
References.
Index.