مقایسهٔ روش‌ها

	برآورد انحراف مطلق میانه (MAD)	رگرسیون حداقل مربعات معمولی (OLS)
حوزه	آمار	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1974	2019
پدیدآور	Hampel (influence-curve treatment); classical robust statistics	Wooldridge (textbook treatment); classical least squares
نوع	Robust scale estimator	Linear regression
منبع بنیادین	Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
نام‌های دیگر	median absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
مرتبط	5	5
خلاصه	Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).