Cover of Bayesian estimation and experimental design in linear regression models

Bayesian estimation and experimental design in linear regression models

by Jürgen Pilz

1991 296 pages eng

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 co…

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