Octavo; VG; navy blue/red spine with gilt text; no jacket; cloth exterior to shows very mild wear; strong boards; tight binding; textblock exterior edges have minimal wear; illustrated endpapers; interior good; illustrated; pp 296. 1363535. FP New Rockville Stock.

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Bibliographic Details

Title

Bayesian Estimation and Experimental Design in Linear Regression Models

Publisher

John Wiley & Sons, Inc, Chichester, New York, Brisbane

Publication Date

1991

Language

English

ISBN 10

047191732X

ISBN 13

9780471917328

Binding

Hardcover

Seller catalogs

Sciences, Math, Medicine, & Natural History

About this title

Synopsis

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.

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