Empirical likelihood for partially linear additive errors-in-variables models

DOI10.1007/s00362-010-0354-1zbMath1440.62113OpenAlexW2093701736MaRDI QIDQ452279

Chuanhua Wei, Yubo Luo, Xi-Zhi Wu

Publication date: 20 September 2012

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-010-0354-1

zbMATH Keywords

confidence regionerrors-in-variablesempirical likelihoodbackfittingpartially linear additive model

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (12)

Bayesian empirical likelihood inference and order shrinkage for autoregressive models ⋮ Empirical Likelihood for Nonparametric Components in Additive Partially Linear Models ⋮ Estimation and inference for additive partially nonlinear models ⋮ Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data ⋮ Empirical likelihood inferences for varying coefficient partially nonlinear models ⋮ Jackknife empirical likelihood of error variance in partially linear varying-coefficient errors-in-variables models ⋮ Rank-based shrinkage estimation for identification in semiparametric additive models ⋮ Testing Serial Correlation in Partially Linear Additive Errors-in-variables Models ⋮ Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables ⋮ Stochastic restricted estimation in partially linear additive errors-in-variables models ⋮ Empirical likelihood based modal regression ⋮ Statistical inference on semi-parametric partial linear additive models

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• Asymptotic properties of backfitting estimators
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• Additive partial linear models with measurement errors
• Empirical likelihood ratio confidence intervals for a single functional
• Weak and strong uniform consistency of kernel regression estimates
• Generalized likelihood ratio tests for the structure of semiparametric additive models
• Nonparametric Inferences for Additive Models

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