Performance of the almost unbiased ridge-type principal component estimator in logistic regression model

dc.contributor.authorWu, Jibo
dc.contributor.authorAsar, Yasin
dc.date.accessioned2024-02-23T14:20:13Z
dc.date.available2024-02-23T14:20:13Z
dc.date.issued2018
dc.departmentNEÜen_US
dc.description.abstractThis article considers some different parameter estimation methods in logistic regression model. In order to overcome multicollinearity, the almost unbiased ridge-type principal component estimator is proposed. The scalar mean squared error of the proposed estimator is derived and its properties are investigated. Finally, a numerical example and a simulation study are presented to show the performance of the proposed estimator.en_US
dc.description.sponsorshipNational Natural Science Foundation of China [11501072]en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China (No. 11501072).en_US
dc.identifier.doi10.1080/03610918.2017.1364384
dc.identifier.endpage2937en_US
dc.identifier.issn0361-0918
dc.identifier.issn1532-4141
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85029450018en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2925en_US
dc.identifier.urihttps://doi.org/10.1080/03610918.2017.1364384
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13068
dc.identifier.volume47en_US
dc.identifier.wosWOS:000449681200008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofCommunications In Statistics-Simulation And Computationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlmost Unbiased Ridge Estimatoren_US
dc.subjectEigenvaluesen_US
dc.subjectLogistic Regression Modelen_US
dc.subjectPrincipal Componenten_US
dc.subjectScalar Mean Squared Erroren_US
dc.titlePerformance of the almost unbiased ridge-type principal component estimator in logistic regression modelen_US
dc.typeArticleen_US

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