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Bayesian Spectrum Analysis and Parameter Estimation

โœ Scribed by G. Larry Bretthorst


Publisher
Springer
Year
1988
Tongue
English
Leaves
220
Series
Lecture Notes in Statistics
Edition
1
Category
Library

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๐Ÿ“œ SIMILAR VOLUMES


Bayesian Spectrum Analysis and Parameter
โœ G. Larry Bretthorst ๐Ÿ“‚ Library ๐Ÿ“… 1988 ๐Ÿ› Springer ๐ŸŒ English

This book is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, chemists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included

Bayesian Spectrum Analysis and Parameter
โœ G. Larry Bretthorst (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1988 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p>This work is essentially an extensive revision of my Ph.D. dissertation, [1J. It 1S primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to

Bayesian Spectrum Analysis and Parameter
โœ G. Larry Bretthorst (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1988 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p>This work is essentially an extensive revision of my Ph.D. dissertation, [1J. It 1S primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to

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<p>The book provides a generalization of Gaussian error intervals to<BR>situations where the data follow non-Gaussian distributions. This<BR>usually occurs in frontier science, where the observed parameter is<BR>just above background or the histogram of multiparametric data<BR>contains empty bins. T

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The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/trackingBayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear