Bayesian estimation and experimental design in linear regression models

  • 1 Currently reading

My Reading Lists:

Create a new list


  • 1 Currently reading

Buy this book

Last edited by MARC Bot
July 21, 2024 | History

Bayesian estimation and experimental design in linear regression models

  • 1 Currently reading

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.

Publish Date
Publisher
Wiley
Language
English
Pages
296

Buy this book

Previews available in: English

Book Details


Edition Notes

Includes bibliographical references ([275]-296) and index.

Published in
Chichester, New York
Series
Wiley series in probability and mathematical statistics

Classifications

Dewey Decimal Class
519.5
Library of Congress
QA279 .P55 1991, QA279.P55 1991

The Physical Object

Pagination
x, 296 p. ;
Number of pages
296

Edition Identifiers

Open Library
OL2398016M
ISBN 10
047191732X
LCCN
87027915
OCLC/WorldCat
16806131
LibraryThing
2799016
Goodreads
7046685

Work Identifiers

Work ID
OL4979119W

Links outside Open Library

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 21, 2024 Edited by MARC Bot import existing book
October 18, 2022 Edited by ImportBot import existing book
November 6, 2020 Edited by MARC Bot import existing book
May 27, 2020 Edited by ImportBot import existing book
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record