A weighted M-estimator for linear regression models with randomly truncated data

DOI10.1016/j.spl.2018.02.055zbMath1392.62113OpenAlexW2789494412MaRDI QIDQ1642254

Jiang Du, Zhong-Zhan Zhang, TianFa Xie

Publication date: 20 June 2018

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.02.055

zbMATH Keywords

asymptotic normalityquantile regressiontruncated dataM-estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (2)

Probability inequalities for sums of NSD random variables and applications ⋮ Efron-Petrosian integrals for doubly truncated data with covariates: an asymptotic analysis

Cites Work

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• A Semiparametric Model for Randomly Truncated Data
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