Statistical inference for fixed-effects partially linear regression models with errors in variables

DOI10.1007/s00362-008-0150-3zbMath1247.62143OpenAlexW2005784827MaRDI QIDQ451444

Bin Zhou, Haibo Zhou, Jin-hong You

Publication date: 23 September 2012

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

Full work available at URL: https://doi.org/10.1007/s00362-008-0150-3

zbMATH Keywords

variable selectionmeasurement errorsprofile least squaresfixed effect

Mathematics Subject Classification ID

Related Items (15)

Asymptotic properties for estimators in a semiparametric EV model with NA errors and missing responses ⋮ Asymptotic normality of estimators in heteroscedastic errors-in-variables model ⋮ Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data ⋮ Asymptotic normality and strong consistency of LS estimators in the EV regression model with NA errors ⋮ Empirical likelihood for heteroscedastic partially linear errors-in-variables model with \(\alpha\)-mixing errors ⋮ A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates ⋮ Jackknife empirical likelihood of error variance in partially linear varying-coefficient errors-in-variables models ⋮ Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects ⋮ Statistical inference for heteroscedastic semi-varying coefficient EV models under restricted condition ⋮ Variable selection in high-dimensional double generalized linear models ⋮ Berry–Esseen type bounds in heteroscedastic errors-in-variables model ⋮ Strong consistency rates for the estimators in a heteroscedastic EV model with missing responses ⋮ Asymptotic properties for the estimators in heteroscedastic semiparametric EV models with α-mixing errors ⋮ Parametric estimation of hidden Markov models by least squares type estimation and deconvolution ⋮ Strong consistency rates of estimators in semi-parametric errors-in-variables model with missing responses

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