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Robust ensample t-test (trimmet gennemsnit)×Robust parret stikprøve-t-test×
FagområdeStatistikStatistik
FamilieHypothesis testHypothesis test
Oprindelsesår1970s–2000s1974
OphavspersonRand R. Wilcox (extending Yuen's trimmed-mean approach)K. K. Yuen; extended by Rand R. Wilcox
TypeRobust parametric mean comparisonRobust parametric mean comparison
Oprindelig 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 ↗
Aliasserone-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-testtrimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison
Relaterede43
ResuméThe robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.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 one-sample t-test · Robust paired samples t-test. Hentet 2026-06-17 fra https://scholargate.app/da/compare