A Five-Decision Testing Procedure to Infer the Value of a Unidimensional Parameter

Détails

ID Serval
serval:BIB_B3F330DFF316
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A Five-Decision Testing Procedure to Infer the Value of a Unidimensional Parameter
Périodique
The American Statistician
Auteur(s)
McDaid Aaron, Kutalik Zoltán, Rousson Valentin
ISSN
0003-1305
1537-2731
Statut éditorial
Publié
Date de publication
02/10/2019
Volume
73
Numéro
4
Pages
321-326
Langue
anglais
Résumé
A statistical test can be seen as a procedure to produce a decision based on observed data, where some decisions consist of rejecting a hypothesis (yielding a significant result) and some do not, and where one controls the probability to make a wrong rejection at some prespecified significance level. Whereas traditional hypothesis testing involves only two possible decisions (to reject or not a null hypothesis), Kaiser?s directional two-sided test as well as the more recently introduced testing procedure of Jones and Tukey, each equivalent to running two one-sided tests, involve three possible decisions to infer the value of a unidimensional parameter. The latter procedure assumes that a point null hypothesis is impossible (e.g., that two treatments cannot have exactly the same effect), allowing a gain of statistical power. There are, however, situations where a point hypothesis is indeed plausible, for example, when considering hypotheses derived from Einstein?s theories. In this article, we introduce a five-decision rule testing procedure, equivalent to running a traditional two-sided test in addition to two one-sided tests, which combines the advantages of the testing procedures of Kaiser (no assumption on a point hypothesis being impossible) and Jones and Tukey (higher power), allowing for a nonnegligible (typically 20%) reduction of the sample size needed to reach a given statistical power to get a significant result, compared to the traditional approach.
Mots-clé
Statistics, Probability and Uncertainty, Statistics and Probability, General Mathematics
Web of science
Financement(s)
Fonds national suisse / 31003A-143914
Création de la notice
04/01/2020 12:39
Dernière modification de la notice
15/07/2020 5:26
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