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dc.contributor.authorAkkus, Ozge
dc.date.accessioned2020-11-20T16:33:43Z
dc.date.available2020-11-20T16:33:43Z
dc.date.issued2011
dc.identifier.issn2147-1762
dc.identifier.urihttps://hdl.handle.net/20.500.12809/4464
dc.descriptionWOS: 000421128200012en_US
dc.description.abstractThis study introduces and shows the applicability of the XploRe commands of the parametric and the semiparametric single index models, which are two most popular alternatives of each other. The commands required for the estimation in all stages of the semiparametric estimation and the parametric logistic, probit and complementary log log regression models are introduced in detail. An artificial data set is used to demonstrate the applicability of the commands in practice. The major contribution of this study is that it enables researchers to obtain additional outputs in easier way that are not so easy to have in the standard statistical packages especially for the semiparametric models. Additionally, users could extend and adapt these commands in conjunction with the new developments in this area.en_US
dc.item-language.isoengen_US
dc.publisherGazi Univen_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSingle Index Modelen_US
dc.subjectSemiparametric Approachen_US
dc.subjectBinary Response Modellingen_US
dc.subjectXploreen_US
dc.titleXploRe Package for the Popular Parametric and the Semiparametric Single Index Modelsen_US
dc.item-typearticleen_US
dc.contributor.departmenten_US
dc.contributor.departmentTemp[Akkus, Ozge] Mugla Univ, Dept Stat, TR-48000 Mugla, Turkeyen_US
dc.identifier.volume24en_US
dc.identifier.issue4en_US
dc.identifier.startpage753en_US
dc.identifier.endpage762en_US
dc.relation.journalGazi University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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