Fundamentals of Statistical Processing Estimation Theory, Volume 1

Name: Fundamentals of Statistical Processing Estimation Theory, Volume 1
Price: 85.19 USD
Availability: InStock
ISBN: 9780133457117

ISBN-10: 0133457117

ISBN-13: 9780133457117

Edition: 1993

Authors: Steven Kay

List price: $137.00

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Description:

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

Book details

List price: $137.00
Copyright year: 1993
Publisher: Pearson Education
Publication date: 4/5/1993
Binding: Hardcover
Pages: 608
Size: 7.20" wide x 9.30" long x 1.00" tall
Weight: 2.530
Language: English




Introduction



Minimum Variance Unbiased Estimation



Cramer-Rao Lower Bound



Linear Models



General Minimum Variance Unbiased Estimation



Best Linear Unbiased Estimators



Maximum Likelihood Estimation



Least Squares



Method of Moments



The Bayesian Philosophy



General Bayesian Estimators



Linear Bayesian Estimators



Kalman Filters



Summary of Estimators



Extension for Complex Data and Parameters


Appendix: Review of Important Concepts


Glossary of Symbols and Abbreviations