Use este identificador para citar ou linkar para este item: repositorio.ufla.br/jspui/handle/1/14468
Título: ESTIMATE OF THE HYPSOMETRIC RELATIONSHIP WITH NONLINEAR MODELS FITTED BY EMPIRICAL BAYESIAN METHODS
Autor: Moreira, Monica Fabiana Bento
Thiersch, Cláudio Roberto
Andrade, Marinho Gomes de
Scolforo, José Roberto Soares
Palavras-chave: Restriction parameters, Bayesian inference, forest measurement.
Publicador: CERNE
CERNE
Data: 19-Abr-2016
Outras Identificações : http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1086
Descrição: In this paper we propose a Bayesian approach to solve the inference problem with restriction on parameters, regarding to nonlinear models used to represent the hypsometric relationship in clones of Eucalyptus sp. The Bayesian estimates are calculated using Monte Carlo Markov Chain (MCMC) method. The proposed method was applied to different groups of actual data from which two were selected to show the results. These results were compared to the results achieved by the minimum square method, highlighting the superiority of the Bayesian approach, since this approach always generate the biologically consistent results for hipsometric relationship.
Idioma: eng
Aparece nas coleções:CERNE

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.