Table of contents for Matrix algebra useful for statistics / Shayle R. Searle.


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1.   Introduction                                              1
2.   Basic Operations                                         22
3.   Special Matrices                                         60
4.   Determinants                                             84
5.   Inverse Matrices                                        119
6.   Rank                                                    155
7.   Canonical Forms                                         205
8    Generalized Inverses                                    212
9.   Solving Linear Equations                                227
10.   Partitioned Matrices                                    257
11.   Eigenvalues and Eigenvectors                            272
11A. Appendix to Chapter 11                                   305
12.   Miscellanea                                             320
13.   Applications in Statistics                              346
14.   The Matrix Algebra of Regression Analysis               363
15.   An Introduction to Linear Statistical Models            392
References                                                    429
Index                                                         433



Library of Congress subject headings for this publication: Matrices, Statistics