EFFICIENCY OF THE PRINCIPAL COMPONENT LIU-TYPE ESTIMATOR IN LOGISTIC REGRESSION

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dc.contributor.authorWu, Jibo
dc.contributor.authorAsar, Yasin
dc.date.accessioned2024-02-23T14:49:18Z
dc.date.available2024-02-23T14:49:18Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractIn this paper we propose a principal component Liu-type logistic estimator by combining the principal component logistic regression estimator and Liu-type logistic estimator to overcome the multicollinearity problem. The superiority of the new estimator over some related estimators are studied under the asymptotic mean squared error matrix. A Monte Carlo simulation experiment is designed to compare the performances of the estimators using mean squared error criterion. Finally, a conclusion section is presented.en_US
dc.identifier.endpage336en_US
dc.identifier.issn1645-6726
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage325en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/18108
dc.identifier.volume18en_US
dc.identifier.wosWOS:000557809200006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherInst Nacional Estatistica-Ineen_US
dc.relation.ispartofRevstat-Statistical Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLiu-Type Estimatoren_US
dc.subjectLogistic Regressionen_US
dc.subjectMean Squared Error Matrixen_US
dc.subjectMaximum Likelihood Estimatoren_US
dc.subjectMulticollinearityen_US
dc.titleEFFICIENCY OF THE PRINCIPAL COMPONENT LIU-TYPE ESTIMATOR IN LOGISTIC REGRESSIONen_US
dc.typeArticleen_US

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