Multivariate partially linear regression in the presence of measurement error

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dc.contributor.authorYalaz, Secil
dc.date.accessioned2024-04-24T16:02:03Z
dc.date.available2024-04-24T16:02:03Z
dc.date.issued2019
dc.departmentDicle Üniversitesien_US
dc.description.abstractIn this paper, multivariate partially linear model with error in the explanatory variable of nonparametric part, where the response variable is m dimensional, is considered. By modification of local-likelihood method, an estimator of parametric part is driven. Moreover, the asymptotic normality of the generalized least square estimator of the parametric component is investigated when the error distribution function is either ordinarily smooth or super smooth. Applications in the Engel curves are discussed and through Monte Carlo experiments performances of n are investigated.en_US
dc.identifier.doi10.1007/s10182-018-0326-7
dc.identifier.endpage135en_US
dc.identifier.issn1863-8171
dc.identifier.issn1863-818X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85047160780en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage123en_US
dc.identifier.urihttps://doi.org/10.1007/s10182-018-0326-7
dc.identifier.urihttps://hdl.handle.net/11468/14599
dc.identifier.volume103en_US
dc.identifier.wosWOS:000460882400005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAsta-Advances in Statistical Analysisen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultivariate Regressionen_US
dc.subjectPartially Linear Modelsen_US
dc.subjectErrors In Variablesen_US
dc.subjectKernel Smoothingen_US
dc.subjectAsymptotic Normalityen_US
dc.titleMultivariate partially linear regression in the presence of measurement erroren_US
dc.typeArticleen_US

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