Linganisha mbinu

	Usawa wa Viwango Vidogo Vilivyopunguzwa (LTS) Regression	Rega ya Kima cha Kati cha Viwango vya Makosa (LMS)
Nyanja	Takwimu	Takwimu
Familia	Regression model	Regression model
Mwaka wa asili	1984	1984
Mwanzilishi	Peter J. Rousseeuw	Peter J. Rousseeuw
Aina	Robust linear regression	Robust linear regression
Chanzo asilia	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.
Majina mbadala	LTS, least trimmed squares regression, trimmed least squares, robust regression	LMS, least median of squares regression, en küçük medyan kareler (LMS)
Zinazohusiana	5	5
Muhtasari	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.	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.