LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa

Detalhes bibliográficos
Autor(a) principal: Horle, Daniel Carlos
Data de Publicação: 2015
Outros Autores: Mendonça, Adriano Ribeiro de, Carvalho, Samuel de Pádua Chaves e, Calegario, Natalino
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/154
Resumo: The increase of forest products demand in the market has been motivating researches in order to generate forest multiproducts with reduced costs. The main purpose of this study was to evaluate the precision of both linear (5 degree polynomial) and nonlinear (Logistic) models to estimate the stem profile of Pinus oocarpa. The data base is from a plantation located in Triângulo Mineriro region, Minas Gerais State, where the stem diameters of 140 trees were measured. The fitted precision equations were evaluated by the following criteria: Akaike information, Bayesian Information, residual graphic analysis, standard error estimate. The Logistic model showed higher precision in estimating the tree profile.
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spelling LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpaForest managementbiometricstaperThe increase of forest products demand in the market has been motivating researches in order to generate forest multiproducts with reduced costs. The main purpose of this study was to evaluate the precision of both linear (5 degree polynomial) and nonlinear (Logistic) models to estimate the stem profile of Pinus oocarpa. The data base is from a plantation located in Triângulo Mineriro region, Minas Gerais State, where the stem diameters of 140 trees were measured. The fitted precision equations were evaluated by the following criteria: Akaike information, Bayesian Information, residual graphic analysis, standard error estimate. The Logistic model showed higher precision in estimating the tree profile.CERNECERNE2015-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/154CERNE; Vol. 16 No. 2 (2010); 177–184CERNE; v. 16 n. 2 (2010); 177–1842317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/154/127Copyright (c) 2015 Daniel Carlos Horle, Adriano Ribeiro de Mendonça, Samuel de Pádua Chaves e Carvalho, Natalino Calegarioinfo:eu-repo/semantics/openAccessHorle, Daniel CarlosMendonça, Adriano Ribeiro deCarvalho, Samuel de Pádua Chaves eCalegario, Natalino2015-11-06T14:36:58Zoai:cerne.ufla.br:article/154Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:34.279534Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
title LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
spellingShingle LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
Horle, Daniel Carlos
Forest management
biometrics
taper
title_short LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
title_full LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
title_fullStr LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
title_full_unstemmed LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
title_sort LONGITUDINAL NONLINEAR MODELLING OF STEM PROFILE OF Pinus oocarpa
author Horle, Daniel Carlos
author_facet Horle, Daniel Carlos
Mendonça, Adriano Ribeiro de
Carvalho, Samuel de Pádua Chaves e
Calegario, Natalino
author_role author
author2 Mendonça, Adriano Ribeiro de
Carvalho, Samuel de Pádua Chaves e
Calegario, Natalino
author2_role author
author
author
dc.contributor.author.fl_str_mv Horle, Daniel Carlos
Mendonça, Adriano Ribeiro de
Carvalho, Samuel de Pádua Chaves e
Calegario, Natalino
dc.subject.por.fl_str_mv Forest management
biometrics
taper
topic Forest management
biometrics
taper
description The increase of forest products demand in the market has been motivating researches in order to generate forest multiproducts with reduced costs. The main purpose of this study was to evaluate the precision of both linear (5 degree polynomial) and nonlinear (Logistic) models to estimate the stem profile of Pinus oocarpa. The data base is from a plantation located in Triângulo Mineriro region, Minas Gerais State, where the stem diameters of 140 trees were measured. The fitted precision equations were evaluated by the following criteria: Akaike information, Bayesian Information, residual graphic analysis, standard error estimate. The Logistic model showed higher precision in estimating the tree profile.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/154
url https://cerne.ufla.br/site/index.php/CERNE/article/view/154
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/154/127
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 16 No. 2 (2010); 177–184
CERNE; v. 16 n. 2 (2010); 177–184
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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