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On fuzzy familywise error rate and false discovery rate procedures for discrete distributions

On fuzzy familywise error rate and false discovery rate procedures for discrete distributions

Fuzzy multiple comparisons procedures are introduced as a solution to the problem of multiple comparisons for discrete test statistics. The critical function of the randomized p-values is proposed as a measure of evidence against the null hypotheses. The classical concept of randomized tests is extended to multiple comparisons. This approach …