השוואת שיטות

	ניתוח נקודת שבירה	רגרסיית ריבועים פחותים רגילים (OLS)
תחום	סטטיסטיקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1983	2019
הוגה השיטה	Hampel (1971); Donoho & Huber (1983)	Wooldridge (textbook treatment); classical least squares
סוג	Robustness diagnostic for estimators	Linear regression
מקור מכונן	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
כינויים	breakdown point, finite-sample breakdown point, robustness breakdown analysis, Bozunma Noktası Analizi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
קשורות	5	5
תקציר	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).