Liu-type estimator for the gamma regression model

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dc.contributor.authorAlgamal, Zakariya Yahya
dc.contributor.authorAsar, Yasin
dc.date.accessioned2024-02-23T14:20:13Z
dc.date.available2024-02-23T14:20:13Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractIn this paper, we propose a new biased estimator called Liu-type estimator in gamma regression models in the presence of collinearity. We also consider some other estimators such as ridge estimator and Liu estimator and conduct a Monte Carlo simulation study to compare the estimators under different designs of collinearity. Moreover, we provide a real data application to show the applicability of the new estimator. The simulations and real data results show that the proposed estimator outperforms better than other competitor estimators by yielding smaller mean squared error (MSE).en_US
dc.identifier.doi10.1080/03610918.2018.1510525
dc.identifier.endpage2048en_US
dc.identifier.issn0361-0918
dc.identifier.issn1532-4141
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85057324939en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2035en_US
dc.identifier.urihttps://doi.org/10.1080/03610918.2018.1510525
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13069
dc.identifier.volume49en_US
dc.identifier.wosWOS:000566389800006en_US
dc.identifier.wosqualityQ3en_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.subjectGamma Regressionen_US
dc.subjectGeneralized Linear Modelsen_US
dc.subjectLiu Estimatoren_US
dc.subjectLiu-Type Estimatoren_US
dc.subjectRidge Estimatoren_US
dc.titleLiu-type estimator for the gamma regression modelen_US
dc.typeArticleen_US

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