Partially linear multivariate regression in the presence of measurement error

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dc.authorid0000-0001-7283-9225en_US
dc.contributor.authorYalaz, Seçil
dc.contributor.authorTez, Müjgan
dc.date.accessioned2021-07-30T05:57:15Z
dc.date.available2021-07-30T05:57:15Z
dc.date.issued2020en_US
dc.departmentDicle Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.descriptionWOS:000580627300002
dc.description.abstractIn this paper, a partially linear multivariate model with error in the explanatory variable of the nonparametric part, and an m dimensional response variable is considered. Using the uniform consistency results found for the estimator of the nonparametric part, we derive an estimator of the parametric part. The dependence of the convergence rates on the errors distributions is examined and demonstrated that proposed estimator is asymptotically normal. In main results, both ordinary and super smooth error distributions are considered. Moreover, the derived estimators are applied to the economic behaviors of consumers. Our method handles contaminated data is founded more effectively than the semiparametric method ignores measurement errorsen_US
dc.identifier.citationYalaz, S. ve Tez, M. (2020). Partially linear multivariate regression in the presence of measurement error. Communications for Statistical Applications and Methods, 27(5), 511-521.en_US
dc.identifier.doi10.29220/CSAM.2020.27.5.511
dc.identifier.endpage521en_US
dc.identifier.issn2287-7843
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85095570951
dc.identifier.scopusqualityQ4
dc.identifier.startpage511en_US
dc.identifier.urihttp://www.csam.or.kr/journal/view.html?doi=10.29220/CSAM.2020.27.5.511
dc.identifier.urihttps://hdl.handle.net/11468/7257
dc.identifier.volume27en_US
dc.identifier.wosWOS:000580627300002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYalaz, Seçil
dc.language.isoenen_US
dc.publisherKorean Statistical Societyen_US
dc.relation.ispartofCommunications for Statistical Applications and Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAsymptotic normalityen_US
dc.subjectEngel curvesen_US
dc.subjectErrors in variablesen_US
dc.subjectKernel smoothingen_US
dc.subjectMultivariate regressionen_US
dc.subjectPartially linear modelen_US
dc.titlePartially linear multivariate regression in the presence of measurement erroren_US
dc.titlePartially linear multivariate regression in the presence of measurement error
dc.typeArticleen_US

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