Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates
type: Item
instance of: scholarly article
title: Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates
zbMATH Open document ID: 1296.62078
author: Chuan-Hua Wei
author: Chang-Lin Mei
published in: Journal of the Korean Statistical Society
publication date: 2014-09-26T00:00:00Z
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G10
zbMATH DE Number: 6347960
zbMATH Keywords: empirical likelihood
zbMATH Keywords: errors-in-variables
zbMATH Keywords: missing data
zbMATH Keywords: partially linear varying-coefficient model
zbMATH Keywords: profile least-squares estimation
MaRDI profile type: Publication
full work available at URL: j.jkss.2011.06.004
OpenAlex ID: W1982212969
cites work: Nonparametric Estimation of Mean Functionals with Data Missing at Random
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cites work: Profile likelihood inferences on semiparametric varying-coefficient partially linear models
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cites work: Estimation in a semiparametric partially linear errors-in-variables model
cites work: Partially linear models with missing response variables and error-prone covariates
cites work: Empirical likelihood for linear models
cites work: Empirical likelihood ratio confidence intervals for a single functional
cites work: Empirical likelihood ratio confidence regions
cites work: Empirical likelihood and general estimating equations
cites work: Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models
cites work: Semiparametric Regression Analysis With Missing Response at Random
cites work: Q3014877
cites work: Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
DOI: 10.1016/J.JKSS.2011.06.004
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description: scientific article; zbMATH DE number 6347960