M-Estimator of a Generalized Linear Model with Measurement Errors

DOI10.1080/03610920903411226zbMath1208.62036OpenAlexW2104397578MaRDI QIDQ3083801

Lixin Song, Yujie Huang

Publication date: 23 March 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903411226

zbMATH Keywords

consistencyasymptotic normality

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Central limit and other weak theorems (60F05) Generalized linear models (logistic models) (62J12) Monte Carlo methods (65C05) Strong limit theorems (60F15)

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Cites Work

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• Properties of some estimators for the errors-in-variables model
• Misclassification of the dependent variable in a discrete-response setting
• Modeling survey response bias -- with an analysis of the demand for an advanced electronic device
• Quasi-likelihood and its application. A general approach to optimal parameter estimation
• Robust estimation of generalized linear models with measurement errors.
• Robust estimates for arch processes
• Robust Regression for Clustered Data with Application to Binary Responses
• Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
• Optimal Conditionally Unbiased Bounded-Influence Inference in Dynamic Location and Scale Models
• Convergence of stochastic processes