A jackknifed ridge estimator in probit regression model

dc.contributor.authorAsar, Yasin
dc.contributor.authorKilinc, Kadriye
dc.date.accessioned2024-02-23T14:17:16Z
dc.date.available2024-02-23T14:17:16Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractIn this study, the effects of multicollinearity on the maximum likelihood estimator are analyzed in the probit regression model. It is known that the near-linear dependencies in the design matrix affect the maximum likelihood estimation negatively, namely, the standard errors become so large so that the estimations are said to be inconsistent. Therefore, a new jackknifed ridge estimator is introduced as an alternative to the maximum likelihood technique and the well-known ridge estimator. The mean squared error properties of the listed estimators are investigated theoretically. In order to evaluate the performance of the estimators, a Monte Carlo simulation study is designed, and simulated mean squared error and squared bias are used as performance criteria. Finally, the benefits of the new estimator are illustrated via a real data application.en_US
dc.identifier.doi10.1080/02331888.2020.1775597
dc.identifier.endpage685en_US
dc.identifier.issn0233-1888
dc.identifier.issn1029-4910
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85086648501en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage667en_US
dc.identifier.urihttps://doi.org/10.1080/02331888.2020.1775597
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13027
dc.identifier.volume54en_US
dc.identifier.wosWOS:000542464800001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofStatisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulticollinearityen_US
dc.subjectRidge Estimatoren_US
dc.subjectJackknifed Ridge Estimatoren_US
dc.subjectProbit Modelen_US
dc.subjectMean Squared Erroren_US
dc.titleA jackknifed ridge estimator in probit regression modelen_US
dc.typeArticleen_US

Dosyalar