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dc.contributor.authorAydın, Dursun
dc.contributor.authorŞenel, B.
dc.date.accessioned2019-10-18T19:02:39Z
dc.date.available2019-10-18T19:02:39Z
dc.date.issued2009
dc.identifier.issn2010376X
dc.identifier.urihttps://hdl.handle.net/11421/10765
dc.description.abstractIn this paper, the sum of squares in linear regression is reduced to sum of squares in semi-parametric regression. We indicated that different sums of squares in the linear regression are similar to various deviance statements in semi-parametric regression. In addition to, coefficient of the determination derived in linear regression model is easily generalized to coefficient of the determination of the semi-parametric regression model. Then, it is made an application in order to support the theory of the linear regression and semi-parametric regression. In this way, study is supported with a simulated data example.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDevianceen_US
dc.subjectPenalized Leasten_US
dc.subjectResidualsen_US
dc.subjectSemi-Parametric Regressionen_US
dc.subjectSmoothing Splineen_US
dc.subjectSquaresen_US
dc.titleRelationship between sums of squares in linear regression and semi-parametric regressionen_US
dc.typearticleen_US
dc.relation.journalWorld Academy of Science, Engineering and Technologyen_US
dc.contributor.departmentAnadolu Üniversitesien_US
dc.identifier.volume40en_US
dc.identifier.startpage6en_US
dc.identifier.endpage10en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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