Mathematical Tools for Applied Multivariate Analysis

✍ Scribed by Paul E. Green (Auth.)

Publisher: Elsevier Inc, Academic Press
Year: 1976
Tongue: English
Leaves: 381
Edition: 1st
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book introduces matrix algebra to students in behavioral and administrative sciences. It clearly defines the relevance of the exercises to concerns within the business community and the social and behavioral sciences. Readers will gain a technical background for tackling applications-oriented multivariate texts

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page v
Dedication, Page vi
Preface, Pages xi-xii
Acknowledgements, Page xiii
CHAPTER 1 - The Nature of Multivariate Data Analysis, Pages 1-25
CHAPTER 2 - Vector and Matrix Operations for Multivariate Analysis, Pages 26-76
CHAPTER 3 - Vector and Matrix Concepts from a Geometric Viewpoint, Pages 77-126
CHAPTER 4 - Linear Transformations from a Geometric Viewpoint, Pages 127-193
CHAPTER 5 - Decomposition of Matrix Transformations: Eigenstructures and Quadratic Forms, Pages 194-258
CHAPTER 6 - Applying the Tools to Multivariate Data, Pages 259-294
APPENDIX A - Symbolic Differentiation and Optimization of Multivariable Functions, Pages 295-322
APPENDIX B - Linear Equations and Generalized Inverses, Pages 323-351
Answers to Numerical Problems, Pages 352-363
References, Pages 364-367
Index, Pages 369-376

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