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dc.contributor.authorAydın, Dursun
dc.contributor.authorOmay, Rabia Ece
dc.descriptionWSEAS;WSEAS Transactionsen_US
dc.descriptionProceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06 -- 20 November 2006 through 22 November 2006 -- -- 106271en_US
dc.description.abstractIn this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed with a program that coded in MATLAB. This simulation study provides a comparison of the five popular smoothing parameter selection criteria. Thus, the emprical performances of the five selection criteria have been investigated and suitable criteria, which used for smoothing parameter selection, have been obtained.en_US
dc.publisherWorld Scientific and Engineering Academy and Societyen_US
dc.subjectNonparametric Regressionen_US
dc.subjectSelection Criteriaen_US
dc.subjectSmoothing Parameteren_US
dc.subjectSmoothing Splineen_US
dc.titleThe empirical performances of the selection criteria for nonparametric regression using smoothing splineen_US
dc.relation.journalInternational Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedingsen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US

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