Robust Liu-type estimator for regression based on M-estimator

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dc.contributor.authorErtaş, Hasan
dc.contributor.authorKaçıranlar, Selahattin
dc.contributor.authorGüler, Hüseyin
dc.date.accessioned2021-04-15T07:00:22Z
dc.date.available2021-04-15T07:00:22Z
dc.date.issued2017
dc.departmentAÇÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.descriptionHasan Ertas was supported by Cukurova University Academic Research Projects (FEF2013D15).en_US
dc.description.abstractThe problem of multicollinearity and outliers in the dataset can strongly distort ordinary least-square estimates and lead to unreliable results. We propose a new Robust Liu-type M-estimator to cope with this combined problem of multicollinearity and outliers in the y-direction. Our new estimator has advantages over two-parameter Liu-type estimator, Ridge-type M-estimator, and M-estimator. Furthermore, we give a numerical example and a simulation study to illustrate some of the theoretical results.
dc.identifier.citationErtaş, H., Kaçıranlar, S., & Güler, H. (2017). Robust Liu-type estimator for regression based on M-estimator. Communications in Statistics-Simulation and Computation, 46(5), 3907-3932.en_US
dc.identifier.endpage3932en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage3907en_US
dc.identifier.urihttps://hdl.handle.net/11494/2983
dc.identifier.volume46en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorErtaş, Hasan
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofCommunications in Statistics - Simulation and Computation
dc.relation.isversionof10.1080/03610918.2015.1045077en_US
dc.relation.isversionof10.1080/03610918.2015.1045077
dc.relation.isversionof10.1080/03610918.2015.1045077
dc.relation.isversionof10.1080/03610918.2015.1045077
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiased estimationen_US
dc.subjectMulticollinearityen_US
dc.subjectOutliersen_US
dc.subjectRobust Regressionen_US
dc.titleRobust Liu-type estimator for regression based on M-estimatoren_US
dc.typeArticle

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