Estimation in Partially Linear Single-Index Models with Missing Covariates

DOI10.1080/03610926.2011.560736zbMath1296.62092OpenAlexW2073860478MaRDI QIDQ3167873

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Publication date: 29 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.560736

zbMATH Keywords

missing at randomlocal linear regressionpartially linear single-index modelweighted estimating equations

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) General nonlinear regression (62J02)

Related Items (5)

A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates ⋮ Empirical likelihood in single-index partially functional linear model with missing observations ⋮ Jackknife empirical likelihood of error variance for partially linear varying-coefficient model with missing covariates ⋮ Estimation in a partially linear single-index model with missing response variables and error-prone covariates ⋮ Quantile regression of partially linear single-index model with missing observations

Cites Work

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• Empirical likelihood for estimating equations with missing values
• Varying-coefficient single-index model
• Optimal smoothing in single-index models
• On locally weighted estimation and hypothesis testing of varying-coefficient models with missing covariates
• Generalized partially linear models with missing covariates
• Semi-parametric estimation of partially linear single-index models
• Semiparametric theory and missing data.
• Testing Serial Correlation in Partially Linear Single-Index Errors-in-Variables Models
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Weak and strong uniform consistency of kernel regression estimates
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Estimation in Partially Linear Models With Missing Covariates

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