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Bootstrapinferens×Trimmed Mean Test (Yuens test)×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19791974
UpphovspersonBradley EfronKaren K. Yuen
TypResampling-based inferenceRobust two-group comparison
UrsprungskällaEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗
Aliasbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıYuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
Närliggande54
SammanfattningBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.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.
ScholarGateDatamängd
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Bootstrap Inference · Trimmed Mean Test. Hämtad 2026-06-18 från https://scholargate.app/sv/compare