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Robust ANOVA (Welch & Trimmed Mean)×Winsoriseret estimering×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19511960
OphavspersonWelch (1951); robust trimmed-mean approach popularised by WilcoxDixon (1960); robust estimation tradition (Wilcox)
TypeRobust one-way analysis of varianceRobust location/scale estimator
Oprindelig kildeWelch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI ↗Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗
AliasserWelch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)winsorization, winsorized mean, Winsorize Edilmiş Tahmin
Relaterede55
ResuméRobust 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.Winsorized estimation is a robust technique that reduces the influence of outliers by clamping the extreme percentiles of a distribution to a chosen threshold. Introduced by Dixon (1960) and developed in the robust-estimation tradition of Wilcox, it keeps every observation in the sample rather than discarding any.
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ScholarGateSammenlign metoder: Robust ANOVA · Winsorized Estimation. Hentet 2026-06-17 fra https://scholargate.app/da/compare