Bayesian Estimation and Experimental Design in Linear Regression Models (Wiley Series in Probability and Statistics) - Hardcover
Book 128 of 358: Wiley Series in Probability and Statistics
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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Bayesian Estimation and Experimental Design in Linear Regression Models (Wiley Series in Probability and Statistics)
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Bayesian estimation and experimental design in linear regression models Jürgen Pilz.
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 PIL 9780471917328 Sprache: Englisch Gewicht in Gramm: 1150. Seller Inventory # 2503432
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Bayesian Estimation and Experimental Design in Linear Regression Models (Wiley Series in Probability and Statistics)
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:047191732X. Seller Inventory # 5832830
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