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Robust ANOVA (Welch & Trimmed Mean)×Theil-Sen-estimator×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår19511968
OpphavspersonWelch (1951); robust trimmed-mean approach popularised by WilcoxHenri Theil (1950); P. K. Sen (1968)
TypeRobust one-way analysis of varianceRobust linear regression
Opprinnelig kildeWelch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI ↗Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. DOI ↗
AliasWelch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)Theil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator
Relaterte56
SammendragRobust 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.The Theil-Sen estimator is a robust linear regression method that estimates the slope as the median of the slopes computed over all pairs of data points. Introduced by Henri Theil in 1950 and extended by P. K. Sen in 1968, it tolerates outliers in the response with a breakdown point of about 29%.
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ScholarGateSammenlign metoder: Robust ANOVA · Theil-Sen Estimator. Hentet 2026-06-15 fra https://scholargate.app/no/compare