So sánh phương pháp

	Hồi quy Bình phương Trung vị Tối thiểu (LMS)	Hồi quy Bình phương Tối thiểu Thông thường (OLS)
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1984	2019
Người khởi xướng	Peter J. Rousseeuw	Wooldridge (textbook treatment); classical least squares
Loại	Robust linear regression	Linear regression
Công trình gốc	Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association, 79(388), 871-880.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Tên gọi khác	LMS, least median of squares regression, en küçük medyan kareler (LMS)	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Liên quan	5	5
Tóm tắt	Least Median of Squares is a robust linear regression method introduced by Peter J. Rousseeuw in 1984. Instead of minimising the sum of squared residuals like ordinary least squares, it minimises the median of the squared residuals, which lets the fit resist contamination by up to roughly 50% outliers.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).