Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates

DOI10.1016/J.JKSS.2011.06.004zbMath1296.62078OpenAlexW1982212969MaRDI QIDQ744744

Chuanhua Wei, Chang-Lin Mei

Publication date: 26 September 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2011.06.004

zbMATH Keywords

errors-in-variablesmissing dataempirical likelihoodpartially linear varying-coefficient modelprofile least-squares estimation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric estimation (62G05)

Related Items (13)

Estimation and inference for additive partially nonlinear models ⋮ Equivalence of two tests in varying coefficient partially linear errors in variable model with missing responses ⋮ Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models ⋮ Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data ⋮ Empirical likelihood inferences for varying coefficient partially nonlinear models ⋮ Bias-corrected estimations in varying-coefficient partially nonlinear models with measurement error in the nonparametric part ⋮ Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables ⋮ Statistical inference for a varying-coefficient partially nonlinear model with measurement errors ⋮ Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables ⋮ Strong consistency rates for the estimators in a heteroscedastic EV model with missing responses ⋮ Empirical likelihood dimension reduction inference for partially non-linear error-in-responses models with validation data ⋮ Penalised empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models ⋮ Statistical Inference on Partially Linear Additive Models with Missing Response Variables and Error-prone Covariates

Cites Work

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• Empirical likelihood ratio confidence regions
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models
• Empirical likelihood for linear models
• Empirical likelihood and general estimating equations
• Estimation in a semiparametric partially linear errors-in-variables model
• Nonparametric regression estimation with missing data
• Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
• Partially linear models with missing response variables and error-prone covariates
• Empirical likelihood ratio confidence intervals for a single functional
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• Semiparametric Regression Analysis With Missing Response at Random

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