Identifiability conditions for the linear regression model under right censoring

DOI10.1080/03610926.2020.1743315OpenAlexW3013705883MaRDI QIDQ5079218

Junyi Dong, Qi Qing Yu

Publication date: 25 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2020.1743315

zbMATH Keywords

linear regression modelsemi-parametric modelBuckley-James estimatorsemi-parametric MLE

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01) Statistics (62-XX)

Related Items (1)

Consistency of semi-parametric maximum likelihood estimator under identifiability conditions for the linear regression model with type I right censoring data

Cites Work

• Unnamed Item
• Unnamed Item
• Censored regression quantiles
• Large sample theory of a modified Buckley-James estimator for regression analysis with censored data
• Asymptotic properties of a modified semi-parametric MLE in linear regression with right-censored data
• A quantile regression estimator for censored data
• Linear regression with censored data
• A Lack-of-Fit Test for Quantile Regression

This page was built for publication: Identifiability conditions for the linear regression model under right censoring