A genetic method of LAD estimation for models with censored data

DOI10.1016/j.csda.2004.03.002zbMath1408.62160OpenAlexW2047892694MaRDI QIDQ957126

Xiuqing Zhou, Jinde Wang

Publication date: 26 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.csda.2004.03.002

zbMATH Keywords

genetic algorithmlinear regressioncensored datacensored least absolute deviations estimation

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (13)

Median regression model with left truncated and interval-censored data ⋮ LAD variable selection for linear models with randomly censored data ⋮ Weighted composite quantile estimation and variable selection method for censored regression model ⋮ Median regression model with left truncated and right censored data ⋮ Quantile regression for doubly truncated data ⋮ Median regression model with doubly truncated data ⋮ An empirical likelihood method for quantile regression models with censored data ⋮ Inverse censoring weighted median regression ⋮ Genetic algorithms in parameter estimation for nonlinear regression models: an experimental approach ⋮ Statistical and computational tradeoff in genetic algorithm-based estimation ⋮ The LAD estimation of the change-point linear model with randomly censored data ⋮ GSA-based maximum likelihood estimation for threshold vector error correction model ⋮ Empirical likelihood for median regression model with designed censoring variables

Uses Software

• Genocop

Cites Work

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• A Monte Carlo comparison of estimators for censored regression models
• Least absolute deviations estimation for the censored regression model
• Censored regression quantiles
• Asymptotic normality of LAD estimator in censored regression models
• An interior point algorithm for nonlinear quantile regression
• Censored Discrete Linear $l_1 $ Approximation
• Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression
• An Alternative Estimator for the Censored Quantile Regression Model
• An Improved Algorithm for Discrete $l_1 $ Linear Approximation

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