Empirical Likelihood for Partially Linear Models with Missing Responses: The Fixed Design Case

DOI10.1080/03610921003714170zbMath1279.62078OpenAlexW2130846931MaRDI QIDQ3015898

Ying Hua Li, Yong Song Qin

Publication date: 13 July 2011

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

Full work available at URL: https://doi.org/10.1080/03610921003714170

zbMATH Keywords

confidence regionmissing at randomempirical likelihoodpartially linear model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (2)

Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables ⋮ Empirical Likelihood for Partially Non Linear Models with Missing Response Variables at Random

Cites Work

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• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Semiparametric Regression Analysis With Missing Response at Random
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• The bootstrap and Edgeworth expansion

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