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Fundamentals of Statistical Processing, Volume I: Estimation Theory
ISBN-10: 0-13-345711-7
ISBN-13: 978-0-13-345711-7
Published by Prentice Hall
© 1993
Pub. Date: Mar 26, 1993
Format: Cloth
Table of Contents
1. Introduction.
2. Minimum Variance Unbiased Estimation.
3. Cramer-Rao Lower Bound.
4. Linear Models.
5. General Minimum Variance Unbiased Estimation.
6. Best Linear Unbiased Estimators.
7. Maximum Likelihood Estimation.
8. Least Squares.
9. Method of Moments.
10. The Bayesian Philosophy.
11. General Bayesian Estimators.
12. Linear Bayesian Estimators.
13. Kalman Filters.
14. Summary of Estimators.
15. Extension for Complex Data and Parameters.
Appendix: Review of Important Concepts.
Glossary of Symbols and Abbreviations.
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This package contains:
- Fundamentals of Statistical Processing, Volume I: Estimation Theory
Steven M. Kay | ©1993 | Cloth; 625 pages - Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory
Steven M. Kay | ©1998 | Cloth; 672 pages
