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Sammenlign metoder

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Permutasjonstest (Randomiseringstest)×Trimmet gjennomsnittstest (Yuens test)×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår20051974
OpphavspersonGood (2005); Edgington & Onghena (2007); resampling traditionKaren K. Yuen
TypeNonparametric resampling testRobust two-group comparison
Opprinnelig kildeGood, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗
Aliasrandomization test, exact permutation test, re-randomization test, Permütasyon TestiYuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
Relaterte54
SammendragThe permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.
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ScholarGateSammenlign metoder: Permutation Test · Trimmed Mean Test. Hentet 2026-06-17 fra https://scholargate.app/no/compare