Wiley Series in Probability and Mathematical Statistics Bayesian Estimation and Experimental Design in Linear Regression Models

Type

Book

Authors

Pilz ( Pilz, Jurgen )

ISBN 10

047191732X

ISBN 13

9780471917328

Tags

Probability & Statistics, Statistics

Series Name

Wiley Series in Probability and Mathematical Statistics

Description

Presents a clear treatment of the design and analysis of linear regression experiments in the presence of prior knowledge about the model parameters. Develops a unified approach to estimation and design; provides a Bayesian alternative to the least squares estimator; and indicates methods for the construction of optimal designs for the Bayes estimator. Material is also applicable to some well-known estimators using prior knowledge that is not available in the form of a prior distribution for the model parameters; such as mixed linear, minimax linear and ridge-type estimators. - from Amzon

Number of Copies