A semi-Bayesian study of Duncan's Bayesian multiple comparison procedure
نویسنده
چکیده
Duncan's Bayesian decision-theoretic multiple comparison procedure requires a decision on the relative magnitudes of losses due to Type I and Type II errors. In this paper, the relative losses are chosen so that the procedure results in weak control of familywise error at the .05 level, i.e. the probability that all hypotheses are accepted is .95 when all hypotheses are true. Duncan's Bayesian formulation requires prior distributions and speci cation of associated hyperparameters for the variances
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