विधियों की तुलना करें

	न्यूनतम माध्यिका वर्ग (LMS) प्रतिगमन	Least Trimmed Squares (LTS) रिग्रेशन
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1984	1984
प्रवर्तक	Peter J. Rousseeuw	Peter J. Rousseeuw
प्रकार	Robust linear regression	Robust linear regression
मौलिक स्रोत	Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association, 79(388), 871-880.	Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association, 79(388), 871-880.
उपनाम	LMS, least median of squares regression, en küçük medyan kareler (LMS)	LTS, least trimmed squares regression, trimmed least squares, robust regression
संबंधित	5	5
सारांश	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.	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.