Generalized \(M\)-estimators for errors-in-variables regression
type: Item
instance of: scholarly article
title: Generalized \(M\)-estimators for errors-in-variables regression
zbMATH Open document ID: 0745.62028
author: Chi-Lun Cheng
author: John W. Van Ness
published in: The Annals of Statistics
publication date: 1992-09-27T00:00:00Z
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 61845
zbMATH Keywords: measurement error model
zbMATH Keywords: structural model
zbMATH Keywords: robust estimation
zbMATH Keywords: structural errors-in-variables linear regression models
zbMATH Keywords: normality
zbMATH Keywords: maximum likelihood estimates
zbMATH Keywords: orthogonal regression
zbMATH Keywords: orthogonal distance
zbMATH Keywords: contamination
zbMATH Keywords: bounded influence estimators
zbMATH Keywords: univariate Gaussian EV models
zbMATH Keywords: generalized \(M\)-estimate approach
zbMATH Keywords: Fisher consistency
zbMATH Keywords: most \(B\)- robust estimators
zbMATH Keywords: OR version of Hampel's optimality problem
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176348528
OpenAlex ID: W1975067353
DOI: 10.1214/AOS/1176348528
description: scientific article; zbMATH DE number 61845