Estimation and hypothesis test on partial linear models with additive distortion measurement errors

DOI10.1016/J.CSDA.2017.03.009zbMath1464.62197OpenAlexW2595585908MaRDI QIDQ1654265

Jun Zhang, Bingqing Lin, Yao Yu, Yan Zhou

Publication date: 7 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2017.03.009

zbMATH Keywords

partial linear modelslocal linear smoothinglack-of-fit testadditive distortion measurement errorsprofile least squares estimators

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (8)

Additive distortion measurement errors regression models with exponential calibration ⋮ Testing symmetry for additive distortion measurement errors data ⋮ Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion ⋮ Partial index additive models with additive distortion measurement errors ⋮ Partial linear additive distortion measurement errors models ⋮ Partial linear models with general distortion measurement errors ⋮ Modal linear regression models with additive distortion measurement errors ⋮ Robust and efficient estimating equations for longitudinal data partial linear models and its applications

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