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حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19681960
پدیدآورHenri Theil (1950); P. K. Sen (1968)Dixon (1960); robust estimation tradition (Wilcox)
نوعRobust linear regressionRobust location/scale estimator
منبع بنیادینSen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. DOI ↗Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗
نام‌های دیگرTheil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimatorwinsorization, winsorized mean, Winsorize Edilmiş Tahmin
مرتبط65
خلاصهThe 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%.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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ScholarGateمقایسهٔ روش‌ها: Theil-Sen Estimator · Winsorized Estimation. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare