Statistical Inference in Partially Linear Varying-Coefficient Models with Missing Responses at Random

DOI10.1080/03610926.2010.542854zbMath1319.62078OpenAlexW2020318755MaRDI QIDQ3168533

Chuanhua Wei

Publication date: 31 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2010.542854

zbMATH Keywords

missing at randomempirical likelihoodpartially linear modelprofile least-squares approachvarying-coefficientcomplete-case data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric hypothesis testing (62G10) Parametric tolerance and confidence regions (62F25) Nonparametric estimation (62G05)

Related Items (3)

Empirical likelihood based diagnostics for heteroscedasticity in semiparametric varying-coefficient partially linear models with missing responses ⋮ Quantile regression of ultra-high dimensional partially linear varying-coefficient model with missing observations ⋮ Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables

Cites Work

• Local polynomial fitting in semivarying coefficient model
• Empirical likelihood ratio confidence regions
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Empirical likelihood for linear models
• Empirical likelihood and general estimating equations
• Efficient estimation of a semiparametric partially linear varying coefficient model
• Nonparametric regression estimation with missing data
• Empirical likelihood for semiparametric varying-coefficient partially linear regression models
• Empirical likelihood ratio confidence intervals for a single functional
• Weak and strong uniform consistency of kernel regression estimates
• Semiparametric Regression Analysis With Missing Response at Random

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