ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Test de rangs signés de Wilcoxon robuste×Test de Friedman robuste×
DomaineStatistiqueStatistique
FamilleHypothesis testHypothesis test
Année d'origine1945 (original); robust extensions 1990s–2000s1990s–2000s
Auteur d'origineFrank Wilcoxon (original); Rand R. Wilcox (robust extensions)Extension of Friedman (1937); robust variants developed by Wilcox and colleagues
TypeRobust nonparametric paired difference testRobust nonparametric repeated measures comparison
Source fondatriceWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Aliasrobust signed-rank test, robust nonparametric paired test, outlier-resistant Wilcoxon test, robust WSR testrobust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust test
Apparentées56
RésuméThe robust Wilcoxon signed-rank test extends the classical Wilcoxon signed-rank test by incorporating outlier-resistant location measures or robust preprocessing steps, improving inference on paired data when extreme observations or heavy-tailed distributions threaten validity of standard rank-based conclusions.The robust Friedman test is a nonparametric procedure for comparing three or more related (within-subjects) conditions that replaces standard ranking or mean-based summaries with robust location estimates — typically trimmed means or Winsorized statistics — to reduce the influence of outliers and heavy-tailed distributions on the inference.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Robust Wilcoxon signed-rank test · Robust Friedman test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare