MANOVA vs Nonlinear Mixed Effects Modeling: the Comparison of Growth Patterns of Female and Male Quail
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Amer Inst Physics
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017 -- Antalya, TURKEY
Anahtar Kelimeler
Multivariate analysis of variance, growth curve, biological meaningful parameters, mixed modeling, Curve
Kaynak
International Conference on Advances in Natural and Applied Sciences (Icanas 2017)
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
1833
