Bandingkan metode

	Regresi Least Trimmed Squares (LTS)	Regresi Kuadrat Tengah Median (LMS)
Bidang	Statistika	Statistika
Keluarga	Regression model	Regression model
Tahun asal	1984	1984
Pencetus	Peter J. Rousseeuw	Peter J. Rousseeuw
Tipe	Robust linear regression	Robust linear regression
Sumber perintis	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.
Alias	LTS, least trimmed squares regression, trimmed least squares, robust regression	LMS, least median of squares regression, en küçük medyan kareler (LMS)
Terkait	5	5
Ringkasan	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.