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Inferencia Bootstrap×Test de la mitjana truncada (Test de Yuen)×
CampEstadísticaEstadística
FamíliaRegression modelRegression model
Any d'origen19791974
Autor originalBradley EfronKaren K. Yuen
TipusResampling-based inferenceRobust two-group comparison
Font seminalEfron, 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 ↗
Àliesbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıYuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
Relacionats54
ResumBootstrap 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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ScholarGateCompara mètodes: Bootstrap Inference · Trimmed Mean Test. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare