So sánh phương pháp

	Hồi quy Bình phương Nhỏ nhất Cắt tỉa (Least Trimmed Squares - LTS)	Ước lượng Theil-Sen
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	1984	1968
Người khởi xướng	Peter J. Rousseeuw	Henri Theil (1950); P. K. Sen (1968)
Loại	Robust linear regression	Robust linear regression
Công trình gốc	Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association, 79(388), 871-880.	Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389.
Tên gọi khác	LTS, least trimmed squares regression, trimmed least squares, robust regression	Theil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator
Liên quan	5	6
Tóm tắt	Least Trimmed Squares is a robust linear regression method introduced by Peter J. Rousseeuw in 1984. Instead of fitting all residuals, it estimates the coefficients by minimising the sum of only the h smallest squared residuals, which gives it a breakdown point of up to 50% and reliable estimates on data heavily contaminated by outliers.	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%.