GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY

Detalhes bibliográficos
Autor(a) principal: Calegario, Natalino
Data de Publicação: 2005
Outros Autores: Maestri, Romualdo, Leal, Cristina L., Daniels, Richard F.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/1866
Resumo: This study was based on the application of the nonlinear multilevel mixed-effects theory in modeling the height growth of Eucalyptus plantation. The database was from individual tree measurements, taken from different sites and over time. This type of database is considered as longitudinal, irregularly spaced, unbalanced, with autocorrelation and  heteroscedasticity. The tree-parameter logistic model was used to estimate the height growth with fixed and random effects in two levels: sample units (level 1) and trees inside sample units (level 2). By including both levels, the standard error of estimate was reduced significantly. Also, the estimates were improved by modeling the variance heterogeneity and the autocorrelation, using the ARMA(2,1) structure.
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spelling GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORYEstimativa do crescimento de povoamentos de Eucalyptus baseada na teoria dos modelos não lineares em multinível de efeito misto.multilevel mixed-effects modelEucalyptus growthheteroscedasticityautocorrelationmodelos mistos em multiníveiscrescimento de Eucalyptusheterogeneidade de variânciaautocorrelaçãoThis study was based on the application of the nonlinear multilevel mixed-effects theory in modeling the height growth of Eucalyptus plantation. The database was from individual tree measurements, taken from different sites and over time. This type of database is considered as longitudinal, irregularly spaced, unbalanced, with autocorrelation and  heteroscedasticity. The tree-parameter logistic model was used to estimate the height growth with fixed and random effects in two levels: sample units (level 1) and trees inside sample units (level 2). By including both levels, the standard error of estimate was reduced significantly. Also, the estimates were improved by modeling the variance heterogeneity and the autocorrelation, using the ARMA(2,1) structure.O presente estudo foi baseado na utilização da teoria dos modelos não-lineares de efeito misto em multiníveis para a modelagem do crescimento em altura de povoamentos clonais de Eucalyptus. A base de dados utilizada representa medições de árvores individuais, tomadas em diferentes locais e no tempo, sendo a mesma classificada de longidudinal, irregularmente espaçada, não-balanceada, com autocorrelação e com a presença de heterogeneidade de variância. O modelo logístico de três parâmetros foi utilizado para a estimativa do crescimento em altura. Os parâmetros do modelo foram estimados como de efeitos fixos e aleatórios em dois níveis: unidade amostral (nível 1) e árvore individual dentro das unidades amostrais (nível 2). A inclusão de tais níveis reduziu sensivelmente o erro padrão da estimativa para o modelo. As estimativas também foram melhoradas com a modelagem da heterogeneidade da variância, utilizando estruturas diagonais, e da autocorrelação, com a estrutura ARMA(2,1).Universidade Federal de Santa Maria2005-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/186610.5902/198050981866Ciência Florestal; Vol. 15 No. 3 (2005); 285-292Ciência Florestal; v. 15 n. 3 (2005); 285-2921980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/1866/1113Calegario, NatalinoMaestri, RomualdoLeal, Cristina L.Daniels, Richard F.info:eu-repo/semantics/openAccess2017-05-16T11:01:31Zoai:ojs.pkp.sfu.ca:article/1866Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-05-16T11:01:31Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
Estimativa do crescimento de povoamentos de Eucalyptus baseada na teoria dos modelos não lineares em multinível de efeito misto.
title GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
spellingShingle GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
Calegario, Natalino
multilevel mixed-effects model
Eucalyptus growth
heteroscedasticity
autocorrelation
modelos mistos em multiníveis
crescimento de Eucalyptus
heterogeneidade de variância
autocorrelação
title_short GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
title_full GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
title_fullStr GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
title_full_unstemmed GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
title_sort GROWTH ESTIMATE OF Eucalyptus STANDS BASED ON NONLINEAR MULTILEVEL MIXED-EFFECTS MODEL THEORY
author Calegario, Natalino
author_facet Calegario, Natalino
Maestri, Romualdo
Leal, Cristina L.
Daniels, Richard F.
author_role author
author2 Maestri, Romualdo
Leal, Cristina L.
Daniels, Richard F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Calegario, Natalino
Maestri, Romualdo
Leal, Cristina L.
Daniels, Richard F.
dc.subject.por.fl_str_mv multilevel mixed-effects model
Eucalyptus growth
heteroscedasticity
autocorrelation
modelos mistos em multiníveis
crescimento de Eucalyptus
heterogeneidade de variância
autocorrelação
topic multilevel mixed-effects model
Eucalyptus growth
heteroscedasticity
autocorrelation
modelos mistos em multiníveis
crescimento de Eucalyptus
heterogeneidade de variância
autocorrelação
description This study was based on the application of the nonlinear multilevel mixed-effects theory in modeling the height growth of Eucalyptus plantation. The database was from individual tree measurements, taken from different sites and over time. This type of database is considered as longitudinal, irregularly spaced, unbalanced, with autocorrelation and  heteroscedasticity. The tree-parameter logistic model was used to estimate the height growth with fixed and random effects in two levels: sample units (level 1) and trees inside sample units (level 2). By including both levels, the standard error of estimate was reduced significantly. Also, the estimates were improved by modeling the variance heterogeneity and the autocorrelation, using the ARMA(2,1) structure.
publishDate 2005
dc.date.none.fl_str_mv 2005-09-30
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://periodicos.ufsm.br/cienciaflorestal/article/view/1866
10.5902/198050981866
url https://periodicos.ufsm.br/cienciaflorestal/article/view/1866
identifier_str_mv 10.5902/198050981866
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/1866/1113
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 15 No. 3 (2005); 285-292
Ciência Florestal; v. 15 n. 3 (2005); 285-292
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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