Liu estimator in partly linear regression models with correlated errors

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dc.authoridOzkale, M.Revan -- 0000-0001-7085-7403;
dc.contributor.authorTabakan, Gülin
dc.contributor.authorÖzkale, Revan
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:18:08Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:18:08Z
dc.date.issued2017
dc.departmentİktisadi ve İdari Bilimler Fakültesi
dc.description.abstractThis article is concerned with the parameter estimation in partly linear regression models when the errors are dependent. To overcome the multicollinearity problem, a generalized Liu estimator is proposed. The theoretical properties of the proposed estimator and its relationship with some existing methods designed for partly linear models are investigated. Finally, a hypothetical data is conducted to illustrate some of the theoretical results.
dc.identifier.doi10.1080/03610918.2015.1026988
dc.identifier.endpage1973en_US
dc.identifier.issn0361-0918
dc.identifier.issn1532-4141
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage1958en_US
dc.identifier.urihttps://doi.org/10.1080/03610918.2015.1026988
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4840
dc.identifier.volume46en_US
dc.identifier.wosWOS:000398114600022
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTAYLOR & FRANCIS INC
dc.relation.ispartofCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLeast Squares
dc.subjectLiu Sstimator
dc.subjectPartly Linear Models
dc.subjectRidge Estimator
dc.subjectSmoothing Parameter
dc.titleLiu estimator in partly linear regression models with correlated errors
dc.typeArticle

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