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dc.contributor.authorShamılov, Aladdin
dc.contributor.authorUsta, İlhan
dc.contributor.authorMert Kantar, Yeliz
dc.date.accessioned2019-10-20T09:31:39Z
dc.date.available2019-10-20T09:31:39Z
dc.date.issued2006
dc.identifier.issn1109-2769
dc.identifier.urihttps://hdl.handle.net/11421/17753
dc.description.abstractIn the present study, we have constructed MinMaxEnt distribution alternative to the Weibull distribution for the wind speed. MinMaxEnt distribution minimizes the special maximum entropy functional in the concrete set of moment functions, therefore, maximizes the amount of information generated by the given random sample. MinMaxEnt distribution of wind speed data measured in Eskisehir is also obtained and compared with the Weibull distribution by using various statistical criterias. Consequently, it is determined that MinMaxEnt distributions is more convenient for wind speed distributions, compared to the Weibull which is widely used in wind studies.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAkaike Information Criteriaen_US
dc.subjectBayes Information Criteriaen_US
dc.subjectChi-Squareen_US
dc.subjectCorrelation Coefficienten_US
dc.subjectMaxenten_US
dc.subjectMaxent Distributionen_US
dc.subjectMinmaxent Distributionen_US
dc.subjectRoot Mean Square Erroren_US
dc.subjectWind Speed Dataen_US
dc.titleThe distribution of minimizing maximum entropy: Alternative to Weibull distribution for wind speeden_US
dc.typearticleen_US
dc.relation.journalWSEAS Transactions on Mathematicsen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.volume5en_US
dc.identifier.issue6en_US
dc.identifier.startpage695en_US
dc.identifier.endpage700en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorMert Kantar, Yeliz


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