Change-constrained stochastic programming problem with normal, t and skew normal, skew t distributions

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dc.contributor.authorİnan, Gültaç Eroğlu
dc.contributor.departmentİstatistiktr_TR
dc.contributor.facultyFen Fakültesitr_TR
dc.date.accessioned2021-11-30T07:02:41Z
dc.date.available2021-11-30T07:02:41Z
dc.date.issued2021-06-30
dc.description.abstractIn this paper, a change constrained optimization programming problem is studied under the assumption that the model coe¢ cients in the inequalities defned as random variables are independent and assumed to be Normal, t; Non Normal Skew distributions; Skew Normal and Skew t distributions. The Hulkursar method transform the stochastic programming problem into a non-linear deterministic problem is used in the study. The most common distribution in CCSP is the Normal Distribution; but the real world problems always may not include normality. Therefore; in the practice stage, an application that the aij technologic coefficient and the bi right side values in the inequalities have both Normal, t; Skew Normal and Skew t distributions is given. Finally the obtained results have been compared.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage193tr_TR
dc.identifier.issn/e-issn2618-6470
dc.identifier.issue1tr_TR
dc.identifier.startpage180tr_TR
dc.identifier.urihttps://doi.org/10.31801/cfsuasmas.685733tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/76459
dc.identifier.volume70tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesi Fen Fakültesitr_TR
dc.relation.isversionof10.31801/cfsuasmas.685733tr_TR
dc.relation.journalCommunications Faculty of Sciences University of Ankara Series A1 Mathematics and Statisticstr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR
dc.subjectChange Constrained Stochastic Programmingtr_TR
dc.subjectSkewnesstr_TR
dc.subjectSkew Normal Distributiontr_TR
dc.titleChange-constrained stochastic programming problem with normal, t and skew normal, skew t distributionstr_TR
dc.typeArticletr_TR

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