Ruminal pH and N-NH3 behavior: a Bayesian approach

Osvaldo Martins Souza, Elias Nunes Martins, Robson Marcelo Rossi, Carlos Antonio Lopes de Oliveira, Sílvia Cristina de Aguiar, Edson Júnior Heitor de Paula, Luiz Juliano Valério Geron, Tádia Emanuele Stivanin, Eric Batista Ferreira

Abstract


In this work, we present the Bayesian approach as an alternative to frequentist analysis regarding correlated data of pH and N-NH3 in the Holstein cow rumen. It was observed that for pH and N-NH3 data, a posteriori estimates of coefficients of the regression models were significant, which was not observed for least-squares estimates. Thus, the Bayesian approach allowed inferences that were directly linked to the sampling of parameters of interest and statistical comparisons of non-linear functions of the estimated parameters.

 


Keywords


Gibbs sampling; Statistical Inference; Least squares estimators.

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DOI: http://dx.doi.org/10.5433/1679-0359.2016v37n1p311

Semina: Ciênc. Agrár.
Londrina - PR
E-ISSN 1679-0359
DOI: 10.5433/1679-0359
E-mail: semina.agrarias@uel.br
Este obra está licenciado com uma Licença Creative Commons Atribuição-NãoComercial 4.0 Internacional