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dc.contributor.authorAydin, Olgun
dc.contributor.authorHayat, Elvan Akturk
dc.contributor.authorHepsen, Ali
dc.date.accessioned2025-01-09T20:14:06Z
dc.date.available2025-01-09T20:14:06Z
dc.date.issued2017
dc.identifier.isbn978-3-319-49559-0
dc.identifier.isbn978-3-319-49558-3
dc.identifier.issn2198-7246
dc.identifier.issn2198-7254
dc.identifier.urihttps://doi.org/10.1007/978-3-319-49559-0_8
dc.identifier.urihttps://hdl.handle.net/20.500.14124/8727
dc.description17th Annual Conference on Finance and Accounting -- MAY 27, 2016 -- Prague, CZECH REPUBLICen_US
dc.description.abstractIn this study, illustrating and comparing the performances of count data models such as Poisson, negative binomial (NB), Hurdle and zero-inflated models for the determination of factors affected housing sales in Dubai. Model comparisons are made via Akaike's information criterion (AIC), the Vuong test and examining the residuals. Main purpose of this study is building reliable statistical model for relationship between Dubai housing sales and important financial indicators in Dubai. With this study government, investors and customers would have an idea about housing sales transactions in future according to economic indicators.en_US
dc.language.isoengen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofNew Trends in Finance and Accountingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDubai housing marketen_US
dc.subjectPoisson regressionen_US
dc.subjectNegative binomial regressionen_US
dc.subjectZero-inflated modelen_US
dc.subjectHurdle modelen_US
dc.titleCount Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicatorsen_US
dc.typeconferenceObjecten_US
dc.authoridAydin, Olgun/0000-0002-7090-0931
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.1007/978-3-319-49559-0_8
dc.identifier.startpage83en_US
dc.identifier.endpage91en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityN/A
dc.identifier.wosWOS:000416113500008
dc.identifier.scopus2-s2.0-85125282906
dc.identifier.scopusqualityQ4
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.snmzKA_20250105


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