论文信息 - On the choice of an experiment for prediction in linear regression

On the choice of an experiment for prediction in linear regression

SUMMARY 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 analyzed in order that a future value of the dependent variable can be predicted using the best subset of the independent variables.

R. Brooks

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