Data/hora: 10/06/2024 06:54:30

Provedor de dados: 	63	
País: 	Brazil	
Título: 	Critical points on growth curves in autoregressive and mixed models	
Autores: 	Pinho,Sheila Zambello de; Carvalho,Lídia Raquel de; Mischan,Martha Maria; Passos,José Raimundo de Souza.	
Data: 	2014-02-01	
Ano: 	2014	
Resumo: 	Adjusting 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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000100004	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/S0103-90162014000100004	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.71 n.1 2014	
Fonte: 	info:eu-repo/semantics/openAccess