Critical points on growth curves in autoregressive and mixed models
DOI:
https://doi.org/10.1590/S0103-90162014000100004Abstract
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.Downloads
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Published
2014-02-01
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Section
Biometry, Modeling and Statistics
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All content of the journal, except where identified, is licensed under a Creative Common attribution-type BY-NC.How to Cite
Critical points on growth curves in autoregressive and mixed models . (2014). Scientia Agricola, 71(1), 30-37. https://doi.org/10.1590/S0103-90162014000100004