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High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale
9/9 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 9 checked references that resolve
resolves10.1007/BFb0098492
Bias- and efficiency-robustness of general M-estimators for regression with random carriers
The 7 references without a DOI — listed, not checked
no DOI — not checked“Breakdown Properties of Multivariate Location Estimators,”
no DOI — not checkedFestschrift fur Erich L. Lehmann
no DOI — not checked“Contributions to the Theory of Robust Estimation,”
no DOI — not checked“PROGRESS: A Program for Robust Regression Analysis,”
no DOI — not checked“A Note on High Breakdown Regression Estimators,”
no DOI — not checked“High Breakdown-Point and High Efficiency Robust Estimates for Regression,”
no DOI — not checked“High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale,”
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