Linganisha mbinu

	Uchambuzi wa Sehemu ya Kuvunjika	Uchanganuzi Imara wa Utambuzi
Nyanja	Takwimu	Takwimu
Familia	Regression model	Regression model
Mwaka wa asili	1983	1997
Mwanzilishi	Hampel (1971); Donoho & Huber (1983)	Hawkins & McLachlan (high-breakdown LDA); Croux & Dehon (S-estimator robust LDA)
Aina	Robustness diagnostic for estimators	Robust classification / discriminant analysis
Chanzo asilia	Donoho, D. L. & Huber, P. J. (1983). The Notion of Breakdown Point. In A Festschrift for Erich L. Lehmann (pp. 157-184). Wadsworth.	Hawkins, D. M. & McLachlan, G. J. (1997). High Breakdown Linear Discriminant Analysis. Journal of the American Statistical Association, 92(437), 136-143.
Majina mbadala	breakdown point, finite-sample breakdown point, robustness breakdown analysis, Bozunma Noktası Analizi	robust LDA, high-breakdown discriminant analysis, MCD-based discriminant analysis, Robust Diskriminant Analizi
Zinazohusiana	5	5
Muhtasari	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.	Robust Discriminant Analysis is a classification method that separates groups with a linear discriminant function while resisting the influence of outliers. It replaces the classical mean and covariance with a high-breakdown estimator such as the Minimum Covariance Determinant (MCD), an approach developed by Hawkins & McLachlan (1997) and Croux & Dehon (2001).