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