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Biometrika 1974 61(2):303-311; doi:10.1093/biomet/61.2.303
© 1974 by Biometrika Trust
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On the choice of an experiment for prediction in linear regression

R. J. BROOKS

Department of Statistics and Computer Science, University College London

Bayesian decision theory is used to obtain optimal designed and random regression experiments. If a choice is possible, it is shown how to decide between them. This is done if the data obtained are to be analysed in order that a future values of the dependent variable can be predicted using the best subset of the independent variables.

Key Words: Beyesian decision theory • Design of experiment • Linear regression • Prediction • Preposterior analysis • Random experiment


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