Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/38190
Title: Análise bayesiana para modelos de degradabilidade ruminal
Other Titles: Bayesian analisys for ruminal degradability models
Keywords: Modelos não lineares
Inferência bayesiana
Degradabilidade ruminal
Nonlinear models
Bayesian inference
Ruminal degradability
Issue Date: Oct-2009
Publisher: Universidade Federal de Santa Maria
Citation: SAVIAN, T. V.; MUNIZ, J. A.; SÁFADI, T.; SILVA, F. F. Análise bayesiana para modelos de degradabilidade ruminal. Ciência Rural, Santa Maria, v. 39, n. 7, p. 2169-2177, out. 2009.
Abstract: The bayesian methodology was used to estimate the parameters of ORSKOV & MCDONALD (1979) and MCDONALD (1981) models. A study was conducted by using both simulated and real data percentage of coastcross grass (Cynodon dactylon x Cynodon nlemfuensis) fiber degradation with neutral detergent fiber degradation over the time. The posterior marginal samples distributions for the parameters were obtained by Gibbs Sampler and Metropolis-Hastings algorithms. The bayesian approach, evaluated and verified by the simulation studied, has proved to be efficient and the parameter estimated were quite close to the parametric values. The parameters estimated for both models using bayesian approach from real data were fairly consistent with the values reported in the literature. The Orskov and McDonald model was more plausible than the description degradation data made by the McDonald model.
URI: http://repositorio.ufla.br/jspui/handle/1/38190
Appears in Collections:DEX - Artigos publicados em periódicos

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