Critical points on growth curves in autoregressive and mixed models

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPinho, Sheila Zambello de-
Autor(es): dc.creatorCarvalho, Lidia Raquel de-
Autor(es): dc.creatorMischan, Martha Maria-
Autor(es): dc.creatorSouza Passos, Jose Raimundo de-
Data de aceite: dc.date.accessioned2021-03-10T21:19:56Z-
Data de disponibilização: dc.date.available2021-03-10T21:19:56Z-
Data de envio: dc.date.issued2014-12-03-
Data de envio: dc.date.issued2014-12-03-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1590/S0103-90162014000100004-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/112586-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/112586-
Descrição: dc.descriptionAdjusting autoregressive and mixed models to growth data fits discontinuous functions, which makes it difficult to determine critical points. In this study we propose a new approach to determine the critical stability point of cattle growth using a first-order autoregressive model and a mixed model with random asymptote, using the deterministic portion of the models. Three functions were compared: logistic, Gompertz, and Richards. The Richards autoregressive model yielded the best fit, but the critical growth values were adjusted very early, and for this purpose the Gompertz model was more appropriate.-
Formato: dc.format30-37-
Idioma: dc.languageen-
Publicador: dc.publisherUniversidade de São Paulo (USP)-
Relação: dc.relationScientia Agricola-
Relação: dc.relation0,578-
Direitos: dc.rightsopenAccess-
Título: dc.titleCritical points on growth curves in autoregressive and mixed models-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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