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Robust Friedman-test×Robust t-test for parede prøver×
FagfeltStatistikkStatistikk
FamilieHypothesis testHypothesis test
Opprinnelsesår1990s–2000s1974
OpphavspersonExtension of Friedman (1937); robust variants developed by Wilcox and colleaguesK. K. Yuen; extended by Rand R. Wilcox
TypeRobust nonparametric repeated measures comparisonRobust parametric mean comparison
Opprinnelig kildeWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗
Aliasrobust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust testtrimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison
Relaterte63
SammendragThe 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.The 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.
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ScholarGateSammenlign metoder: Robust Friedman test · Robust paired samples t-test. Hentet 2026-06-15 fra https://scholargate.app/no/compare