Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail

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dc.authorid0000-0002-0091-4713
dc.authorid0000-0003-1010-683X
dc.authorid0000-0002-0091-4713
dc.authorscopusid7004483704
dc.authorscopusid36161092200
dc.authorscopusid57191160029
dc.authorscopusid36133557400
dc.authorwosidNarinç, Doğan/AAG-5912-2021
dc.authorwosidFIRAT, Mehmet Ziya/AAV-2691-2020
dc.authorwosidFIRAT, Mehmet Ziya/C-5503-2016
dc.authorwosidKaraman, Emre/AAW-8742-2020
dc.contributor.authorFırat, M. Z.
dc.contributor.authorKaraman, Emre
dc.contributor.authorBaşar, E. K.
dc.contributor.authorNarinç, Doğan
dc.date.accessioned2022-05-11T14:42:31Z
dc.date.available2022-05-11T14:42:31Z
dc.date.issued2016
dc.departmentFakülteler, Veteriner Fakültesi, Zootekni ve Hayvan Besleme Bölümü, Genetik Ana Bilim Dalı
dc.description.abstractThis paper discusses the Bayesian approach as an alternative to the classical analysis of nonlinear models for growth curve data in Japanese quail. A Bayesian nonlinear modeling method is introduced and compared with the classical nonlinear least squares (NLS) method using three non-linear models that are widely used in modeling the growth data of poultry. The Gompertz, Richards and Logistic models were fitted to 499 Japanese quail weekly averaged body weight data. Normal prior was assumed for all growth curve parameters of the models with assuming Jeffreys' non-informative prior for residual variances. Models were compared based on the Bayesian measure of fit, deviance information criterion (DIC), and our results indicated the better fit of Gompertz and Richards models than the Logistic model to our data. Moreover, the parameter estimates of the models fitted by both approaches showed only small differences.
dc.description.sponsorshipAkdeniz University Scientific Research Projects Management UnitAkdeniz University [2005.02.0121.005]
dc.description.sponsorshipWe would like to express our gratitude to Dr. Tulin Aksoy (Akdeniz University, Faculty of Agriculture, Department of Animal Science, Antalya-TURKEY) for supplying the data, which was collected as part of a research project supported by Akdeniz University Scientific Research Projects Management Unit (project number: 2005.02.0121.005).
dc.identifier.doi10.1590/1806-9061-2015-0066
dc.identifier.endpage26
dc.identifier.issn1516-635X
dc.identifier.issn1806-9061
dc.identifier.scopus2-s2.0-84987667487
dc.identifier.scopusqualityQ3
dc.identifier.startpage19
dc.identifier.urihttps://doi.org/10.1590/1806-9061-2015-0066
dc.identifier.urihttps://hdl.handle.net/20.500.11776/9404
dc.identifier.volume18
dc.identifier.wosWOS:000384152000004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorNarinç, Doğan
dc.language.isoen
dc.publisherFacta-Fundacio Arnco Ciencia Tecnologia Avicolas
dc.relation.ispartofBrazilian Journal of Poultry Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGompertz
dc.subjectLogistic
dc.subjectRichards
dc.subjectnon-linear
dc.subjectBayesian
dc.subjectDay Milk Yields
dc.subjectCurve Parameters
dc.subjectBody-Weight
dc.subjectMixed-Model
dc.subjectSelection
dc.subjectLines
dc.subjectMeat
dc.titleBayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail
dc.typeArticle

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