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.
SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University. He is the author of Linear Models, Linear Models for Unbalanced Data, and Generalized, Linear, and Mixed Models (with Charles E. McCulloch), all from Wiley.