Statistical inference for varying-coefficient models with error-prone covariates

DOI10.1080/00949655.2010.505568zbMath1365.62139OpenAlexW2110344494MaRDI QIDQ5300713

Yong Zhou, Jin-hong You, Xiao-Li Li

Publication date: 28 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2010.505568

zbMATH Keywords

wild bootstrapvarying coefficientancillary variableserrors-in-variablecorrected local polynomial estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric statistical resampling methods (62G09)

Related Items (6)

Adaptive structure inferences on partially linear error-in-function models with error-prone covariates ⋮ Effects of measurement error on a class of single-index varying coefficient regression models ⋮ Structure identification for varying coefficient models with measurement errors based on kernel smoothing ⋮ Instrumental variable-based empirical likelihood inferences for varying-coefficient models with error-prone covariates ⋮ Instrumental variable type estimation for generalized varying coefficient models with error-prone covariates ⋮ Estimation and inference for varying-coefficient regression models with error-prone covariates

Cites Work

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• Functional-Coefficient Autoregressive Models
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