A weighted quantile regression for randomly truncated data

DOI10.1016/J.CSDA.2010.05.022zbMath1247.62122OpenAlexW2030984513MaRDI QIDQ452627

Weihua Zhou

Publication date: 15 September 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.05.022

zbMATH Keywords

consistencyasymptotic normality\texttt{R}

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (16)

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Uses Software

• bootstrap

Cites Work

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• The central limit theorem under random truncation
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• Estimation of regression parameters with left truncated data
• Estimation of the truncation probability in the random truncation model
• The strong law under random truncation
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• Asymptotic properties of a nonparametric regression function estimator with randomly truncated data
• Random truncation models and Markov processes
• Survival Analysis With Quantile Regression Models
• A Nonparametric Approach to the Truncated Regression Problem
• A Semiparametric Model for Randomly Truncated Data
• Regression Quantiles
• Asymptotic Statistics
• The Product-Moment Correlation Coefficient and Linear Regression for Truncated Data
• Censored Regression Quantiles
• Estimating a distribution function with truncated data

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