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dc.contributor.authorGürcan, Eser Kemal
dc.date.accessioned2022-05-11T14:46:36Z
dc.date.available2022-05-11T14:46:36Z
dc.date.issued2017
dc.identifier.isbn978-0-7354-1503-4
dc.identifier.issn0094-243X
dc.identifier.urihttps://doi.org/10.1063/1.4981710
dc.identifier.urihttps://hdl.handle.net/20.500.11776/10331
dc.description2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017 -- Antalya, TURKEYen_US
dc.description.abstractThe most commonly used methods for analyzing time-dependent data are multivariate analysis of variance (MANOVA) and nonlinear regression models. The aim of this study was to compare some MANOVA techniques and nonlinear mixed modeling approach for investigation of growth differentiation in female and male Japanese quail. Weekly individual body weight data of 352 male and 335 female quail from hatch to 8 weeks of age were used to perform analyses. It is possible to say that when all the analyses are evaluated, the nonlinear mixed modeling is superior to the other techniques because it also reveals the individual variation. In addition, the profile analysis also provides important information.en_US
dc.description.sponsorshipAgri Ibrahim Cecen Univ, IC Fdnen_US
dc.description.sponsorshipNamik Kemal University Scientific Research Projects Coordination UnitNamik Kemal University [NKUBAP.03.GA.16.033]en_US
dc.description.sponsorshipThis study was funded with the number NKUBAP.03.GA.16.033 by Namik Kemal University Scientific Research Projects Coordination Unit.en_US
dc.language.isoengen_US
dc.publisherAmer Inst Physicsen_US
dc.identifier.doi10.1063/1.4981710
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultivariate analysis of varianceen_US
dc.subjectgrowth curveen_US
dc.subjectbiological meaningful parametersen_US
dc.subjectmixed modelingen_US
dc.subjectCurveen_US
dc.titleMANOVA vs Nonlinear Mixed Effects Modeling: the Comparison of Growth Patterns of Female and Male Quailen_US
dc.typeproceedingPaperen_US
dc.relation.ispartofInternational Conference on Advances in Natural and Applied Sciences (Icanas 2017)en_US
dc.departmentFakülteler, Ziraat Fakültesi, Zootekni Bölümüen_US
dc.identifier.volume1833en_US
dc.institutionauthorGürcan, Eser Kemal
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorwosidGURCAN, ESER KEMAL/ABA-4511-2020
dc.identifier.wosWOS:000405093100062en_US


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