قارن الطرق

	مخطط الصندوق المعدل للتوزيعات الملتوية	انحدار المربعات الصغرى المشذبة (LTS)
المجال	الإحصاء	الإحصاء
العائلة	Regression model	Regression model
سنة النشأة	2008	1984
صاحب الطريقة	Hubert & Vandervieren	Peter J. Rousseeuw
النوع	Robust outlier detection / descriptive visualization	Robust linear regression
المصدر التأسيسي	Hubert, M. & Vandervieren, E. (2008). An Adjusted Boxplot for Skewed Distributions. Computational Statistics & Data Analysis, 52(12), 5186-5201.	Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association, 79(388), 871-880.
الأسماء البديلة	adjusted box plot, medcouple boxplot, skewness-adjusted boxplot, Düzeltilmiş Kutu Grafiği (Adjusted Boxplot)	LTS, least trimmed squares regression, trimmed least squares, robust regression
ذات صلة	5	5
الملخص	The Adjusted Boxplot is a robust descriptive tool introduced by Hubert and Vandervieren (2008) that corrects the classical IQR-based boxplot for skewness using the medcouple statistic, reducing the false labelling of outliers in asymmetric data.	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.