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dc.contributor.authorAkkus, Ozge
dc.date.accessioned2020-11-20T16:23:33Z
dc.date.available2020-11-20T16:23:33Z
dc.date.issued2012
dc.identifier.issn2147-1762
dc.identifier.urihttps://hdl.handle.net/20.500.12809/4266
dc.descriptionWOS: 000421140000016en_US
dc.description.abstractIn this study, commands written on the basis of Uniform Confidence Bands (UCB) in the new windows version of the XploRe package for testing the validity of the link function assumed for binary parametric complementary log log model were introduced. Models including only continuous and both continuous and discrete (mixed) explanatory variables cases were discussed, separately. I intended here to present researchers an easier way for testing the accuracy of the assumed parametric complementary log log model for the data that could not be tested by the existing standard statistical packages. The applicability of the commands was shown over an artificial and a real data set on gastric cancer.en_US
dc.item-language.isoengen_US
dc.publisherGazi Univen_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComplementary Log Log Modelen_US
dc.subjectModel Validity Testen_US
dc.subjectBinary Dependent Variableen_US
dc.subjectSemi-Parametric Approachen_US
dc.subjectUniform Confidence Banden_US
dc.titleHow to Test the Parametric Fit of the Complementary Log Log Model to the Data?en_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.volume25en_US
dc.identifier.issue3en_US
dc.identifier.startpage665en_US
dc.identifier.endpage675en_US
dc.relation.journalGazi University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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