Modellıng The Meteorologıcal Effects On Aır Temperature For Konya Cıty ın Turkey: The Approaches Of Quantıle Regressıon and Quantıle Regressıon Neural Networks

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dc.authorid0000-0001-5359-8964en_US
dc.authorid0000-0002-7094-8097en_US
dc.contributor.authorAltındağ, İlkay
dc.contributor.authorPehlivan, Nimet Yapıcı
dc.date.accessioned2020-12-22T09:32:05Z
dc.date.available2020-12-22T09:32:05Z
dc.date.issued2013en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, we propose the use of the quantile regression and quantile regression neural networks for the relationship between monthly air temperature and various meteorological effects. Meteorological effects and air temperature differs at different points in the conditional distribution. When applied to ten years (2000-2009) of data from Konya city, results of the quantile regression and quantile regression neural networks show that the contributions of the explanatory variables to the conditional distribution of the air temperature vary significantly. Finally, computation of conditional air temperature through both of the methods for multiple regression allows the estimation of complete density distributions that can be used for forecasting next month’s air temperature under an uncertainty framework.en_US
dc.identifier.citationAltindag, I., Pehlivan, N. Y. (2013).Modellıng The Meteorologıcal Effects On Aır Temperature For Konya Cıty ın Turkey: The Approaches Of Quantıle Regressıon and Quantıle Regressıon Neural Networks. Journal of Selcuk University Natural and Applied Science, 2, (1), 28-43.en_US
dc.identifier.endpage43en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage28en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/40878
dc.identifier.volume2en_US
dc.language.isotren_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectQuantile Regressionen_US
dc.subjectQuantile Regression Neural Networksen_US
dc.subjectEffects of Air Temperatureen_US
dc.titleModellıng The Meteorologıcal Effects On Aır Temperature For Konya Cıty ın Turkey: The Approaches Of Quantıle Regressıon and Quantıle Regressıon Neural Networksen_US
dc.typeArticleen_US

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