On the choice of an experiment for prediction in linear regression

Abstract

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.