Regression model

Breakdown Point Analysis

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.

StatMind ile uygulaSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Donoho, D. L. & Huber, P. J. (1983). The Notion of Breakdown Point. In A Festschrift for Erich L. Lehmann (pp. 157-184). Wadsworth. link
  2. Hampel, F. R. (1971). A General Qualitative Definition of Robustness. Annals of Mathematical Statistics, 42(6), 1887-1896. DOI: 10.1214/aoms/1177693054

Related methods

Referenced by

ScholarGateBreakdown Point Analysis (Breakdown Point Analysis of Estimators). Retrieved 2026-06-04 from https://scholargate.app/tr/statistics/breakdown-point-analysis