Part of the Duxbury Classic series, Franklin A. Graybillas MATRICES WITH APPLICATIONS TO STATISTICS focuses primarily on matrices as they relate to areas of multivariate analysis and the linear model. This seminal work is a time tested, authoritative resource for both students and researchers.
1. Prerequisite Matrix Theory
2. Prerequisite Vector Theory
3. Linear Transformations and Characteristic Roots
4. Geometric Interpretations
5. Algebra of Vector Spaces
6. Generalized Inverse; Conditional Inverse
7. Systems of Linear Equations
8. Patterned Matrices and Other Special Matrices
9. Trace and Vector of Matrices : Communication Matrices
10. Integration and Differentiation
etc.