Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model

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dc.contributor.authorYalaz, Secil
dc.contributor.authorKuran, Ozge
dc.date.accessioned2024-04-24T16:24:23Z
dc.date.available2024-04-24T16:24:23Z
dc.date.issued2021
dc.departmentDicle Üniversitesien_US
dc.description.abstractThis 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.en_US
dc.identifier.doi10.1080/00949655.2020.1836642
dc.identifier.endpage951en_US
dc.identifier.issn0094-9655
dc.identifier.issn1563-5163
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85094683620
dc.identifier.scopusqualityQ2
dc.identifier.startpage934en_US
dc.identifier.urihttps://doi.org/10.1080/00949655.2020.1836642
dc.identifier.urihttps://hdl.handle.net/11468/16691
dc.identifier.volume91en_US
dc.identifier.wosWOS:000584071600001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of Statistical Computation and Simulation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectErrors In Variablesen_US
dc.subjectPartially Linear Modelen_US
dc.subjectPartially Linear Mixed-Effects Modelen_US
dc.subjectKernel Regressionen_US
dc.subjectAsymptotic Normalityen_US
dc.titleKernel estimator and predictor of partially linear mixed-effect errors-in-variables modelen_US
dc.titleKernel estimator and predictor of partially linear mixed-effect errors-in-variables model
dc.typeArticleen_US

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