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Robust ANOVA (Welch & Trimmade medelvärden)×Bootstrapinferens×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19511979
UpphovspersonWelch (1951); robust trimmed-mean approach popularised by WilcoxBradley Efron
TypRobust one-way analysis of varianceResampling-based inference
UrsprungskällaWelch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
AliasWelch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Närliggande55
SammanfattningRobust ANOVA compares the central tendency of three or more groups when the classical assumptions of normality and equal variances fail. It combines Welch's heteroscedasticity-adjusted statistic, introduced by Welch in 1951, with trimmed-mean tests advanced by Wilcox, giving reliable comparisons in the presence of outliers and unequal group spreads.Bootstrap 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.
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ScholarGateJämför metoder: Robust ANOVA · Bootstrap Inference. Hämtad 2026-06-15 från https://scholargate.app/sv/compare