Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means

Exact randomization tests in their naïve implementation impose a computation burden that makes them generally prohibitive, forcing the researcher to choose between approximate (i.e. incomplete) randomization tests, rank-based tests or normal-family approximations. The algebra and enumeration algorit...

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Main Authors: Pierre Ferland, Louis Laurencelle
Format: Article
Language:English
Published: Université d'Ottawa 2012-10-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
Online Access:http://www.tqmp.org/Content/vol08-3/p137/p137.pdf
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spelling doaj-f71debd1b5794a88ac3cca3f8ceb00402020-11-24T23:09:03ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262012-10-0183137150Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent meansPierre FerlandLouis LaurencelleExact randomization tests in their naïve implementation impose a computation burden that makes them generally prohibitive, forcing the researcher to choose between approximate (i.e. incomplete) randomization tests, rank-based tests or normal-family approximations. The algebra and enumeration algorithm for the comparison of two independent means are minutely analysed, and several reduction and acceleration principles are proposed. A sequential back-up mechanism turns out to be the simplest and most efficient to test the difference at the alpha level, with a time-cost generally cut down by a factor better than 1alpha. http://www.tqmp.org/Content/vol08-3/p137/p137.pdfstatistical testspermutation testmean test
collection DOAJ
language English
format Article
sources DOAJ
author Pierre Ferland
Louis Laurencelle
spellingShingle Pierre Ferland
Louis Laurencelle
Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
Tutorials in Quantitative Methods for Psychology
statistical tests
permutation test
mean test
author_facet Pierre Ferland
Louis Laurencelle
author_sort Pierre Ferland
title Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
title_short Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
title_full Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
title_fullStr Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
title_full_unstemmed Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means
title_sort un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; highly efficient algorithms for the exact randomization test of the difference between two independent means
publisher Université d'Ottawa
series Tutorials in Quantitative Methods for Psychology
issn 1913-4126
publishDate 2012-10-01
description Exact randomization tests in their naïve implementation impose a computation burden that makes them generally prohibitive, forcing the researcher to choose between approximate (i.e. incomplete) randomization tests, rank-based tests or normal-family approximations. The algebra and enumeration algorithm for the comparison of two independent means are minutely analysed, and several reduction and acceleration principles are proposed. A sequential back-up mechanism turns out to be the simplest and most efficient to test the difference at the alpha level, with a time-cost generally cut down by a factor better than 1alpha.
topic statistical tests
permutation test
mean test
url http://www.tqmp.org/Content/vol08-3/p137/p137.pdf
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AT louislaurencelle unalgorithmeefficacepourlacomparaisondedeuxmoyennesindependantesparcombinatoireexhaustivehighlyefficientalgorithmsfortheexactrandomizationtestofthedifferencebetweentwoindependentmeans
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