Determination of a point sufficiently close to the asymptote in nonlinear growth functions

Detalhes bibliográficos
Autor(a) principal: Mischan,Martha Maria
Data de Publicação: 2011
Outros Autores: Pinho,Sheila Zambello de, Carvalho,Lídia Raquel de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000100016
Resumo: Growth functions with upper horizontal asymptote do not have a maximum point, but we frequently question from which point growth can be considered practically constant, that is, from which point the curve is sufficiently close to its asymptote, so that the difference can be considered non-significant. Several methods have been employed for this purpose, such as one that verifies the significance of the difference between the curve and its asymptote using a t-test, and that of Portz et al. (2000), who used segmented regression. In the present work, we used logistic growth function, which has horizontal asymptote and one inflection point, and applied a new method consisting in the mathematical determination of a point in the curve from which the growth acceleration asymptotically tends to zero. This method showed the advantage to have biological meaning besides leading to a point quite close to those obtained using the beforementioned methods.
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spelling Determination of a point sufficiently close to the asymptote in nonlinear growth functionsnonlinear regressionlogistic modelcritical point of growthGrowth functions with upper horizontal asymptote do not have a maximum point, but we frequently question from which point growth can be considered practically constant, that is, from which point the curve is sufficiently close to its asymptote, so that the difference can be considered non-significant. Several methods have been employed for this purpose, such as one that verifies the significance of the difference between the curve and its asymptote using a t-test, and that of Portz et al. (2000), who used segmented regression. In the present work, we used logistic growth function, which has horizontal asymptote and one inflection point, and applied a new method consisting in the mathematical determination of a point in the curve from which the growth acceleration asymptotically tends to zero. This method showed the advantage to have biological meaning besides leading to a point quite close to those obtained using the beforementioned methods.Escola Superior de Agricultura "Luiz de Queiroz"2011-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000100016Scientia Agricola v.68 n.1 2011reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162011000100016info:eu-repo/semantics/openAccessMischan,Martha MariaPinho,Sheila Zambello deCarvalho,Lídia Raquel deeng2011-01-13T00:00:00Zoai:scielo:S0103-90162011000100016Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2011-01-13T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Determination of a point sufficiently close to the asymptote in nonlinear growth functions
title Determination of a point sufficiently close to the asymptote in nonlinear growth functions
spellingShingle Determination of a point sufficiently close to the asymptote in nonlinear growth functions
Mischan,Martha Maria
nonlinear regression
logistic model
critical point of growth
title_short Determination of a point sufficiently close to the asymptote in nonlinear growth functions
title_full Determination of a point sufficiently close to the asymptote in nonlinear growth functions
title_fullStr Determination of a point sufficiently close to the asymptote in nonlinear growth functions
title_full_unstemmed Determination of a point sufficiently close to the asymptote in nonlinear growth functions
title_sort Determination of a point sufficiently close to the asymptote in nonlinear growth functions
author Mischan,Martha Maria
author_facet Mischan,Martha Maria
Pinho,Sheila Zambello de
Carvalho,Lídia Raquel de
author_role author
author2 Pinho,Sheila Zambello de
Carvalho,Lídia Raquel de
author2_role author
author
dc.contributor.author.fl_str_mv Mischan,Martha Maria
Pinho,Sheila Zambello de
Carvalho,Lídia Raquel de
dc.subject.por.fl_str_mv nonlinear regression
logistic model
critical point of growth
topic nonlinear regression
logistic model
critical point of growth
description Growth functions with upper horizontal asymptote do not have a maximum point, but we frequently question from which point growth can be considered practically constant, that is, from which point the curve is sufficiently close to its asymptote, so that the difference can be considered non-significant. Several methods have been employed for this purpose, such as one that verifies the significance of the difference between the curve and its asymptote using a t-test, and that of Portz et al. (2000), who used segmented regression. In the present work, we used logistic growth function, which has horizontal asymptote and one inflection point, and applied a new method consisting in the mathematical determination of a point in the curve from which the growth acceleration asymptotically tends to zero. This method showed the advantage to have biological meaning besides leading to a point quite close to those obtained using the beforementioned methods.
publishDate 2011
dc.date.none.fl_str_mv 2011-02-01
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=S0103-90162011000100016
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000100016
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162011000100016
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.68 n.1 2011
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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