On the relationship between regression analysis and mathematical programming

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dc.contributor.authorGiresunlu, İsmail Müfit
dc.contributor.authorErtan, Esra
dc.date.accessioned2024-07-12T20:50:03Z
dc.date.available2024-07-12T20:50:03Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn the development of the underlying theories in statistical methods, it has been face to face with a optimization problem. For example, for the aim of regression problem estimates the ? parameters that makes minimum the objective function according as structure of functions, is a optimization problem. Least Squares Method and Minimizing Mean Absolute Deviations (MINMAD) are at most using approaches in this problem. Although it has long been popular to utilize the Least Squares estimation procedure for fitting the linear regression model to observed data, with the development of Mathematical Programming, solving the MINMAD regression problem with Simplex Method has been a robust alternative to Least Squares Method (LS). In this study solving the MINMAD regression problem with Simplex Method has been given.en_US
dc.identifier.citationGiresunlu, İ. M. ve Ertan, E. (2009). On the relationship between regression analysis and mathematical programming. Maltepe Üniversitesi. s. 202.en_US
dc.identifier.endpage203en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage202en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2274
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07601
dc.titleOn the relationship between regression analysis and mathematical programmingen_US
dc.typeConference Object
dspace.entity.typePublication

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