Statistical Inference on Partially Linear Additive Models with Missing Response Variables and Error-prone Covariates

DOI10.1080/03610926.2012.735327zbMath1360.62142OpenAlexW1973989982MaRDI QIDQ5259099

Hongsheng Hu, Xujie Jia, Chuanhua Wei

Publication date: 24 June 2015

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

Full work available at URL: https://doi.org/10.1080/03610926.2012.735327

zbMATH Keywords

confidence regionerrors-in-variablesmissing dataempirical likelihoodbackfittingpartially linear additive model

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric tolerance and confidence regions (62F25) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (2)

Estimation in a partially linear single-index model with missing response variables and error-prone covariates ⋮ Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables

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