Salīdzināt metodes

	Mazākās apgrieztās kvadrātiskās kļūdas (LTS) regresija	Regresija ar mazāko kvadrātisko mediānu (LMS)
Nozare	Statistika	Statistika
Saime	Regression model	Regression model
Izcelsmes gads	1984	1984
Autors	Peter J. Rousseeuw	Peter J. Rousseeuw
Tips	Robust linear regression	Robust linear regression
Pirmavots	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.
Citi nosaukumi	LTS, least trimmed squares regression, trimmed least squares, robust regression	LMS, least median of squares regression, en küçük medyan kareler (LMS)
Saistītās	5	5
Kopsavilkums	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.