Improving bias-robustness of regression estimates through projections
type: Item
instance of: scholarly article
title: Improving bias-robustness of regression estimates through projections
zbMATH Open document ID: 0972.62043
DOI: 10.1016/S0167-7152(99)00151-0
published in: Statistics \& Probability Letters
publication date: 2000-07-25T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 65C05
zbMATH DE Number: 1441618
zbMATH Keywords: robustness
zbMATH Keywords: maximum bias
zbMATH Keywords: asymptotic bias
author: Ricardo Antonio Maronna
author: Matías Salibián Barrera
author: Victor J. Yohai
MaRDI profile type: Publication
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cites work: Q4692741
cites work: Q3683344
cites work: Functional stability of one-step GM-estimators in approximately linear regression
cites work: High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale
cites work: A minimax-bias property of the least \(\alpha\)-quantile estimates
cites work: Local and global robustness of regression estimators
Wikidata QID: Q126312699
full work available at URL: s0167-7152(99)00151-0
OpenAlex ID: W2028813537
description: scientific article; zbMATH DE number 1441618