NONLINEAR REGRESSION MODELS AND APPLICATIONS IN ANIMAL SCIENCE
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Dosyalar
Tarih
Haziran 2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Siirt Üniversitesi, Fen Bilimleri Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Time dependent data, such as growth, yield and production in animal husbandry, are often
expressed in nonlinear models. For this reason, nonlinear regression models take an important role in animal science.
In this study, general information about nonlinear regression models was given and examples
related to application areas in animal husbandry were referred. Nonlinear models that best describe the
lactation curves, which show the change of milk yield with time, the growth curves of the animals, the
egg weight and the production curves, were investigated. For correct model selection, after application of
different models, criteria such as determination coefficient, adjusted determination coefficient, mean
square error, Wellmot agreement criterion, absolute percentage error, Akaike information criterion,
Bayesian information criterion were introduced. In addition, the steps for solving the models in SAS, STATISTICA, SPSS, MINITAB statistical package programs have been shown.
As a result, the most used models were selected and a base of nonlinear models applied in animal
science was created.
Açıklama
Anahtar Kelimeler
Lactation curves, growth curves, mathematical modeling, regression
