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An optimal Bayesian decision procedure for testing hypothesis in normal linear models based on intrinsic model posterior probabilities is considered. It is proven that these posterior probabilities are simple functions of the classical <b>""F""</b>-statistic, thus the evaluation of the procedure can be...
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