Some new methods to solve multicollinearity in logistic regression

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dc.contributor.authorAsar, Yasin
dc.date.accessioned2024-02-23T14:20:13Z
dc.date.available2024-02-23T14:20:13Z
dc.date.issued2017
dc.departmentNEÜen_US
dc.description.abstractThe binary logistic regression is a widely used statistical method when the dependent variable is binary or dichotomous. In some of the situations of logistic regression, independent variables are collinear which leads to the problem of multicollinearity. It is known that multicollinearity affects the variance of maximum likelihood estimator (MLE) negatively. Thus, this article introduces new methods to estimate the shrinkage parameters of Liu-type logistic estimator proposed by Inan and Erdogan (2013) which is a generalization of the Liu-type estimator defined by Liu (2003) for the linear model. A Monte Carlo study is used to show the effectiveness of the proposed methods over MLE using the mean squared error (MSE) and mean absolute error (MAE) criteria. A real data application is illustrated to show the benefits of new methods. According to the results of the simulation and application proposed methods have better performance than MLE.en_US
dc.identifier.doi10.1080/03610918.2015.1053925
dc.identifier.endpage2586en_US
dc.identifier.issn0361-0918
dc.identifier.issn1532-4141
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85004191382en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2576en_US
dc.identifier.urihttps://doi.org/10.1080/03610918.2015.1053925
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13064
dc.identifier.volume46en_US
dc.identifier.wosWOS:000400186200006en_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.subjectLogistic Regressionen_US
dc.subjectLiu-Type Estimatorsen_US
dc.subjectMulticollinearityen_US
dc.subjectMseen_US
dc.subjectMleen_US
dc.titleSome new methods to solve multicollinearity in logistic regressionen_US
dc.typeArticleen_US

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