Yalaz, SecilKuran, Ozge2024-04-242024-04-2420210094-96551563-5163https://doi.org/10.1080/00949655.2020.1836642https://hdl.handle.net/11468/16691This paper considers the partially linear mixed-effect model relating a response Y to predictors (X, Z, T) with mean function X-T beta + Z(T)b + g(T) which is a combination of the linear mixed-effect model and the nonparametric smooth function. The proposed model contains an additive measurement error in X. Taavoni and Arashi (Kernel estimation in semiparametric mixed-effect longitudinal modelling. Statist Papers. 2019. Available from: https://doi.org/10.1007/s00362019-01125-8.) approximated the nonparametric function by the profile kernel method, and made use of the weighted least squares to estimate the regression coefficients when measurement error was ignored. We derive a simple modification of their estimators by correction for attenuation stems from measurement error and demonstrate that the linear parts estimator is asymptotically normal.eninfo:eu-repo/semantics/closedAccessErrors In VariablesPartially Linear ModelPartially Linear Mixed-Effects ModelKernel RegressionAsymptotic NormalityArticle915934951WOS:0005840716000012-s2.0-8509468362010.1080/00949655.2020.1836642Q2Q3