WebIn statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values.. The more inferences are made, the more likely erroneous inferences become. Several statistical techniques have been developed to … WebFamily-wise error rate The familywise error rate is the probability of making one or more Type I error in a family or set of comparisons. Boneferroni Inequality Define α as the per …
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WebSep 14, 2024 · Family-wise error rate = 1 – (1-α)n where: α: The significance level for a single hypothesis test n: The total number of tests For example, suppose we conduct 5 … WebThis probability is called the familywise error rate (FWER). Here the term “family” refers to the collection of hypotheses H 1,...,H s that is being con-sidered for joint testing. Which … WebGENERALIZATIONS OF THE FAMILYWISE ERROR RATE By E. L. Lehmann and Joseph P. Romano University of California, Berkeley and Stanford University Consider the problem of simultaneously testing null hypotheses H 1,...,H s. The usual approach to dealing with the multiplicity prob-lem is to restrict attention to procedures that control the familywise batya ungar-sargon education