Simple resampling methods of approximating the distribution of LAD estimators for doubly censored regression models

DOI10.1016/j.csda.2011.06.023zbMath1271.62154OpenAlexW1995776431MaRDI QIDQ1942909

Xiuqing Zhou, Jin Zhao

Publication date: 14 March 2013

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.023

zbMATH Keywords

bootstraplinear programmingdoubly censored dataLAD estimatorrandom weightingmedian regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01) Nonparametric statistical resampling methods (62G09)

Related Items (1)

LAD-Lasso variable selection for doubly censored median regression models

Uses Software

• bootstrap

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Least absolute deviations estimation for the censored regression model
• Asymptotic normality of LAD estimator in censored regression models
• Regression \(M\)-estimators with doubly censored data
• Non-parametric hypothesis testing and confidence intervals with doubly censored data
• Simple resampling methods for censored regression quantiles
• Approximation to the distribution of LAD estimators for censored regression by random weighting method
• LAD estimation for nonlinear regression models with randomly censored data
• Methods of Statistical Inference for Median Regression Models with Doubly Censored Data
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
• Survival Analysis with Median Regression Models
• LAD Estimation for Multiple Regression Models with Doubly Censored Data

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