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30/11/2018 - Hypothesis Tests: Using Adaptive Significance Levels for Decisions - Palestrante: Adriano Polpo (UFSCar)

Quando 30/11/2018
das 13h00 até 14h30
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Seminário Conjunto UFSCar/ICMC

Data e horário: 31/11/2018 14:00

Local: Sala 43 do DEs-UFSCar

Palestrante: Adriano Polpo

Título: Hypothesis Tests: Using Adaptive Significance Levels for Decisions

Resumo: We statisticians know of the inconsistency, or paradox, in the current classical tests of significance that are based on p-value statistics that are compared to the canonical significance levels (10%, 5%, and 1%): “Raise the sample to reject the null hypothesis” is the recommendation of some ill-advised scientists! We show that it is possible to eliminate this problem of significance tests. The main tools used here are the Bayes factor and the extended Neyman–Pearson Lemma.

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