BERNSTEIN POLYNOMIAL APPROACH AGAINST TO SOME FREQUENTLY USED GROWTH CURVE MODELS ON ANIMAL DATA

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dc.contributor.authorGurcan, Mehmet
dc.contributor.authorColak, Cemil
dc.contributor.authorOrman, Mehmet N.
dc.date.accessioned2019-10-27T21:16:46Z
dc.date.available2019-10-27T21:16:46Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description.abstractNon-linear Logistic, Gompertz and Richards growth curve models were fitted to the data from Simmental x Southern Anatolian Red (SAR) crossbred cattles. Individual growth curves were fitted based on live weight measurements, and then general growth curves were obtained for all the models. In addition, Bernstein basis polynomials have played important roles in nonparametric curve estimation. Therefore, Bernstein polynomial approach was used to model the growth curve in the current data. We determined the accuracy of the models by using coefficient of determination (R(2)), Mean square error (MSE) and iteration number together. In summary, the most suitable model based on the accuracy criteria was Bernstein model. Among the well-known growth curves, Logistic, Richards and Gompertz were ordered respectively.en_US
dc.identifier.endpage516en_US
dc.identifier.issn1012-9367
dc.identifier.issn1012-9367en_US
dc.identifier.issue3en_US
dc.identifier.startpage509en_US
dc.identifier.urihttps://hdl.handle.net/11454/43719
dc.identifier.volume26en_US
dc.identifier.wosWOS:000280477900005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIsoss Publen_US
dc.relation.ispartofPakistan Journal of Statisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBernstein polynomial approachen_US
dc.subjectGrowth curve modelen_US
dc.subjectSimmentalen_US
dc.subjectSouthern Anatolian Reden_US
dc.titleBERNSTEIN POLYNOMIAL APPROACH AGAINST TO SOME FREQUENTLY USED GROWTH CURVE MODELS ON ANIMAL DATAen_US
dc.typeArticleen_US

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