Confidence regions for bivariate probability density functions using polygonal areas

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dc.contributor.authorKesemen, Orhan
dc.contributor.authorÖzkul, Eda
dc.contributor.authorÜnsal, Ülkü
dc.contributor.departmentOthertr_TR
dc.contributor.facultyOthertr_TR
dc.date.accessioned2021-11-11T07:29:06Z
dc.date.available2021-11-11T07:29:06Z
dc.date.issued2020-06-30
dc.description.abstractIn this study, a polygonal approach is suggested to generalize the notion of the condence region of the univariate probability density function for the bivariate probability density function. The equal density approach is used to demonstrate that condence regions can be polygonal shapes. The bisection method is the preferred method in nding the equal density value that reveals the desired condence coecient. Condence regions estimate not only bivariate unimodal probability functions but also bivariate multimodal probability functions. An approach is enhanced to estimate these condence regions for probability density functions which are dened as rectangular, polygonal and innite expanse areas.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage306tr_TR
dc.identifier.issn/e-issn2618-6470
dc.identifier.issue1tr_TR
dc.identifier.startpage276tr_TR
dc.identifier.urihttps://doi.org/10.31801/cfsuasmas.542499tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/75988
dc.identifier.volume69tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesi Fen Fakültesitr_TR
dc.relation.isversionof10.31801/cfsuasmas.542499tr_TR
dc.relation.journalCommunications Faculty of Sciences University of Ankara Series A1 Mathematics and Statisticstr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıtr_TR
dc.subjectBivariate probability density functionstr_TR
dc.subjectBivariate confidence regiontr_TR
dc.subjectMultimodal confidence regiontr_TR
dc.titleConfidence regions for bivariate probability density functions using polygonal areastr_TR
dc.typeArticletr_TR

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