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Test t robuste pour échantillons appariés×Test t pour échantillons appariés×
DomaineStatistiqueStatistique
FamilleHypothesis testHypothesis test
Année d'origine19741908
Auteur d'origineK. K. Yuen; extended by Rand R. WilcoxStudent (W. S. Gosset)
TypeRobust parametric mean comparisonParametric mean comparison
Source fondatriceYuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Aliastrimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparisondependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test
Apparentées33
RésuméThe robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down.The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Robust paired samples t-test · Paired samples t-test. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare