مقایسهٔ روش‌ها

	تحلیل نقطه شکست	رگرسیون حداقل مربعات معمولی (OLS)
حوزه	آمار	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1983	2019
پدیدآور	Hampel (1971); Donoho & Huber (1983)	Wooldridge (textbook treatment); classical least squares
نوع	Robustness diagnostic for estimators	Linear regression
منبع بنیادین	Donoho, D. L. & Huber, P. J. (1983). The Notion of Breakdown Point. In A Festschrift for Erich L. Lehmann (pp. 157-184). Wadsworth.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
نام‌های دیگر	breakdown point, finite-sample breakdown point, robustness breakdown analysis, Bozunma Noktası Analizi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
مرتبط	5	5
خلاصه	Breakdown point analysis quantifies the fraction of outliers an estimator can tolerate before it produces meaningless results. Formalised by Hampel (1971) and Donoho and Huber (1983), it is the standard tool for comparing the robustness of competing estimators.	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).