Determination of a point sufficiently close to the asymptote in nonlinear growth functions
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
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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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 |
_version_ |
1748936462382923776 |