Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Zootecnia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010000200027 |
Resumo: | This paper shows the Bayesian approach as an alternative to the classical analysis of nonlinear models for ruminal degradation data. The data set was obtained from a Latin square experimental design, established for testing the ruminal degradation of dry matter, crude protein and fiber in neutral detergent of three silages: elephant grass (Pennisetum purpureum Schum) with bacterial inoculant or enzyme-bacterial inoculant and corn silage (Zea mays L.). The incubation times were 0, 2, 6, 12, 24, 48, 72 and 96 hours. The parameter estimates of the equations fitted by both methods showed small differences, but by the Bayesian approach it was possible to compare the estimates correctly, that does not happen with the frequentist methodology because it is much more restricted in the applications due to the demand for a larger number of presuppositions. |
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Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability databayesian inferencedegradabilitynonlinear modelsThis paper shows the Bayesian approach as an alternative to the classical analysis of nonlinear models for ruminal degradation data. The data set was obtained from a Latin square experimental design, established for testing the ruminal degradation of dry matter, crude protein and fiber in neutral detergent of three silages: elephant grass (Pennisetum purpureum Schum) with bacterial inoculant or enzyme-bacterial inoculant and corn silage (Zea mays L.). The incubation times were 0, 2, 6, 12, 24, 48, 72 and 96 hours. The parameter estimates of the equations fitted by both methods showed small differences, but by the Bayesian approach it was possible to compare the estimates correctly, that does not happen with the frequentist methodology because it is much more restricted in the applications due to the demand for a larger number of presuppositions.Sociedade Brasileira de Zootecnia2010-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010000200027Revista Brasileira de Zootecnia v.39 n.2 2010reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.1590/S1516-35982010000200027info:eu-repo/semantics/openAccessRossi,Robson MarceloMartins,Elias NunesGuedes,Terezinha AparecidaJobim,Clóves Cabreiraeng2010-03-17T00:00:00Zoai:scielo:S1516-35982010000200027Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2010-03-17T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false |
dc.title.none.fl_str_mv |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
title |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
spellingShingle |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data Rossi,Robson Marcelo bayesian inference degradability nonlinear models |
title_short |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
title_full |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
title_fullStr |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
title_full_unstemmed |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
title_sort |
Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data |
author |
Rossi,Robson Marcelo |
author_facet |
Rossi,Robson Marcelo Martins,Elias Nunes Guedes,Terezinha Aparecida Jobim,Clóves Cabreira |
author_role |
author |
author2 |
Martins,Elias Nunes Guedes,Terezinha Aparecida Jobim,Clóves Cabreira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Rossi,Robson Marcelo Martins,Elias Nunes Guedes,Terezinha Aparecida Jobim,Clóves Cabreira |
dc.subject.por.fl_str_mv |
bayesian inference degradability nonlinear models |
topic |
bayesian inference degradability nonlinear models |
description |
This paper shows the Bayesian approach as an alternative to the classical analysis of nonlinear models for ruminal degradation data. The data set was obtained from a Latin square experimental design, established for testing the ruminal degradation of dry matter, crude protein and fiber in neutral detergent of three silages: elephant grass (Pennisetum purpureum Schum) with bacterial inoculant or enzyme-bacterial inoculant and corn silage (Zea mays L.). The incubation times were 0, 2, 6, 12, 24, 48, 72 and 96 hours. The parameter estimates of the equations fitted by both methods showed small differences, but by the Bayesian approach it was possible to compare the estimates correctly, that does not happen with the frequentist methodology because it is much more restricted in the applications due to the demand for a larger number of presuppositions. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010000200027 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010000200027 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1516-35982010000200027 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
dc.source.none.fl_str_mv |
Revista Brasileira de Zootecnia v.39 n.2 2010 reponame:Revista Brasileira de Zootecnia (Online) instname:Sociedade Brasileira de Zootecnia (SBZ) instacron:SBZ |
instname_str |
Sociedade Brasileira de Zootecnia (SBZ) |
instacron_str |
SBZ |
institution |
SBZ |
reponame_str |
Revista Brasileira de Zootecnia (Online) |
collection |
Revista Brasileira de Zootecnia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ) |
repository.mail.fl_str_mv |
||bz@sbz.org.br|| secretariarbz@sbz.org.br |
_version_ |
1750318145648721920 |