পদ্ধতির তুলনা করুন

	Least Median of Squares (LMS) রিগ্রেশন	Least Trimmed Squares (LTS) Regression
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1984	1984
প্রবর্তক	Peter J. Rousseeuw	Peter J. Rousseeuw
ধরন	Robust linear regression	Robust linear regression
মৌলিক উৎস	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.
অপর নাম	LMS, least median of squares regression, en küçük medyan kareler (LMS)	LTS, least trimmed squares regression, trimmed least squares, robust regression
সম্পর্কিত	5	5
সারসংক্ষেপ	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.