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 Estimation
โ Scribed by G. Larry Bretthorst
- Publisher
- Springer
- Year
- 1988
- Tongue
- English
- Leaves
- 220
- Series
- Lecture Notes in Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<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
<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
<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
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