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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/128551
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dc.contributor.authorMischan, Martha Maria-
dc.contributor.authorSouza Passos, Jose Raimundo de-
dc.contributor.authorPinho, Sheila Zambello de-
dc.contributor.authorCarvalho, Lidia Raquel de-
dc.date.accessioned2015-10-21T13:10:53Z-
dc.date.accessioned2016-10-25T20:59:52Z-
dc.date.available2015-10-21T13:10:53Z-
dc.date.available2016-10-25T20:59:52Z-
dc.date.issued2015-05-01-
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000300215&lng=en&nrm=iso&tlng=en-
dc.identifier.citationScientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 72, n. 3, p. 215-220, 2015.-
dc.identifier.issn0103-9016-
dc.identifier.urihttp://hdl.handle.net/11449/128551-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/128551-
dc.description.abstractGrowth functions with inflection points following a diphasic model, can be adjusted by two approaches using segmented regression or the sum of two functions. In both cases, there are two functions, one for each phase, with inflection and stability points. However, when they are summed, the result is a new function and the points of inflection and stability are different from those obtained from using each function individually. A method to determine these points in a diphasic logistics sum of functions is suggested and the results obtained from fitting the models to eucalyptus growth data showed a better fit of the logistic diphasic sum as compared with segmented regression and monophasic logistic models.en
dc.format.extent215-220-
dc.language.isoeng-
dc.publisherUniv Sao Paolo-
dc.sourceWeb of Science-
dc.subjectNonlinear modelsen
dc.subjectSegmented regressionen
dc.subjectSum of logisticsen
dc.titleInflection and stability points of diphasic logistic analysis of growthen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSao Paulo State Univ, IBB Dept Biostat, BR-18618970 Botucatu, SP, Brazil-
dc.description.affiliationUnespSao Paulo State Univ, IBB Dept Biostat, BR-18618970 Botucatu, SP, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1590/0103-9016-2014-0212-
dc.identifier.scieloS0103-90162015000300215-
dc.identifier.wosWOS:000357631600004-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileS0103-90162015000300215.pdf-
dc.relation.ispartofScientia Agricola-
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