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dc.contributor.authorOmay, Rabia Ece
dc.contributor.authorAydın, D.
dc.date.accessioned2019-10-20T09:31:40Z
dc.date.available2019-10-20T09:31:40Z
dc.date.issued2006
dc.identifier.isbn9608457564
dc.identifier.urihttps://hdl.handle.net/11421/17756
dc.descriptionWSEAS;WSEAS Transactionsen_US
dc.descriptionProceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06 -- 20 November 2006 through 22 November 2006 -- -- 106271en_US
dc.description.abstractIn this paper, different regression models are obtained to examine relation between house price and house features in Centrum of Eskisehir Province (Turkey). The statistical analyses of this paper indicate that some of explanatory variables affect the response variable parametrically and some of them nonparametrically. Therefore, obtained suitable model has both parametric and nonparametric variables and the model is semiparametric additive regression model. It has concluded that this model has given better results than linear model.en_US
dc.language.isoengen_US
dc.publisherWorld Scientific and Engineering Academy and Societyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdditive Modelen_US
dc.subjectBackfittingen_US
dc.subjectDevianceen_US
dc.subjectSemiparametric Additive Modelen_US
dc.subjectSmoothing Splaynen_US
dc.titleInvestigation of house price in Eskisehir (Turkey) by using semiparametric additive regression modelen_US
dc.typeconferenceObjecten_US
dc.relation.journalInternational Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedingsen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.volume1en_US
dc.identifier.startpage252en_US
dc.identifier.endpage256en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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