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Bootstrap-meetodist×Kärbitud keskmise test (Yuen'i test)×
ValdkondStatistikaStatistika
PerekondRegression modelRegression model
Tekkeaasta19791974
LoojaBradley EfronKaren K. Yuen
TüüpResampling-based inferenceRobust two-group comparison
AlgallikasEfron, 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 ↗
Rööpnimetusedbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıYuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
Seotud54
KokkuvõteBootstrap 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.
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ScholarGateVõrdle meetodeid: Bootstrap Inference · Trimmed Mean Test. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare