Bayesian Estimation and Experimental Design in Linear Regression Models
Published on 27. March 1991
Book
Hardback
306 pages
978-0-471-91732-8 (ISBN)
Description
This research monograph is concerned with the design and analysis of linear regression experiments, using the Bayesian approach. The construction methods and design algorithms developed in the book will be of direct practical use to all those involved in the design and analysis of regression experiments, and are designed to be adapted for use in computer programs.
More details
Series
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations, index
Dimensions
Height: 60 mm
Width: 35 mm
Weight
500 gr
ISBN-13
978-0-471-91732-8 (9780471917328)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Estimation and Design as a Bayesian Decision Problem; Choice of a Prior Distribution; Conjugate Prior Distributions; Bayes Estimation of the Regression Parameter; Optimality and Robustness of the Bayes Estimator; Bayesian Interpretation of Estimators Using Non-Bayesian Prior Knowledge; Bayes Estimation in Case of Prior Ignorance; Further Problems; The Design Problem for the Linear Bayes Estimator; Characterization of Optimal Designs; Construction of Optimal Continuous Designs; Construction of Exact Optimal Designs.