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Matrices for Statistics


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Table of Contents

1: Introducing matrices 2: Determinants 3: Inverse matrices 4: Linear dependence and rank 5: Simultaneous equations and generalized inverses 6: Linear spaces 7: Quadratic forms and eigensystems 8: [chapter title not yet decided] 9: Other topics


This book contains excellent descriptions and interesting examples. * Journal of Statistical Computation and Simulation *

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