Fundamentals of Statistical Processing, Volume I

Name: Fundamentals of Statistical Processing, Volume I
Author: Steven Kay

Estimation Theory

Specificaties

Gebonden, 608 blz. | Engels

Pearson Education | 1e druk, 1993

ISBN13: 9780133457117

Rubricering

Hoofdrubriek : Wetenschap en techniek

Pearson Education 1e druk, 1993 9780133457117

Verwachte levertijd ongeveer 8 werkdagen

158,14

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Samenvatting

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

KEY TOPICS:
Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems.

MARKETS: 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.

Specificaties

ISBN13:9780133457117

Trefwoorden:statistiek

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:608

Uitgever:Pearson Education

Druk:1

Verschijningsdatum:1-5-1993

Hoofdrubriek:Wetenschap en techniek

Inhoudsopgave

&nbsp;1. Introduction.

&nbsp;2. Minimum Variance Unbiased Estimation.

&nbsp;3. Cramer-Rao Lower Bound.

&nbsp;4. Linear Models.

&nbsp;5. General Minimum Variance Unbiased Estimation.

&nbsp;6. Best Linear Unbiased Estimators.

&nbsp;7. Maximum Likelihood Estimation.

&nbsp;8. Least Squares.

&nbsp;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.