Critical points on growth curves in autoregressive and mixed models
AUTOR(ES)
Pinho, Sheila Zambello de, Carvalho, Lídia Raquel de, Mischan, Martha Maria, Passos, José Raimundo de Souza
FONTE
Sci. agric. (Piracicaba, Braz.)
DATA DE PUBLICAÇÃO
2014-02
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.
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