2015
DOI: 10.1590/s0100-204x2015001100015
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Modelos de crescimento animal para tempos irregulares

Abstract: Resumo -O objetivo deste trabalho foi propor modelos que considerem estrutura irregular dos dados e avaliá-los em relação a modelos utilizados com tempos regulares. Foram considerados os modelos de crescimento Gompertz, Logístico e Von Bertalanffy com estruturas regular e irregular para os erros. A metodologia foi exemplificada com o uso de dados reais e simulados. Foram utilizados 16 pesos médios de 160 animais da raça Hereford, com pesagens do nascimento até aproximadamente 2 anos de idade. Para cada modelo,… Show more

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Cited by 6 publications
(6 citation statements)
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“…Similar findings were reported by MUNIZ et al (2017), MUIANGA et al (2016) and CASSIANO & SÁFADI (2015) in their studies on growth, in which the residual dependence was modeled by autoregressive order AR P . In the current study, the logistic model offered the best results corroborating the findings of PRADO et al, (2013), who also reported a better fit by this model in their studies on the green dwarf cocus fruit diameter.…”
Section: Resultssupporting
confidence: 82%
See 1 more Smart Citation
“…Similar findings were reported by MUNIZ et al (2017), MUIANGA et al (2016) and CASSIANO & SÁFADI (2015) in their studies on growth, in which the residual dependence was modeled by autoregressive order AR P . In the current study, the logistic model offered the best results corroborating the findings of PRADO et al, (2013), who also reported a better fit by this model in their studies on the green dwarf cocus fruit diameter.…”
Section: Resultssupporting
confidence: 82%
“…When the residuals are independent, the parameters Ø i are null, and consequently u i -ɛ i (MUIANGA et al, 2016). CASSIANO & SÁFADI (2015) reiterated that time-ordered sets of data are normally autocorrelated, which must be taken into account and modeled to ensure more highly accurate estimates and better quality in the adjustment of the models.…”
Section: Methodsmentioning
confidence: 99%
“…This fact evidenced that for the description of growth characteristics of the group of animals under study, the parameterization and the value of m = 3/4 of great importance to obtain better fits. In practice, it is common to neglect the models with a practical or biological interpretation for parameter b, as in the studies of , Silveira et al (2011), Cassiano & Sáfadi (2015), Jacob et al (2015), and Rodrigues et al (2018). Nevertheless, if the parameterization of Model 3 is used, considering the correct allometry, a better fit can be achieved in these studies.…”
Section: Resultsmentioning
confidence: 99%
“…The study of growth curves of these animals by nonlinear models is very attractive, as they are flexible and summarize the characteristics of the species development in a few parameters with biological interpretation. In practice, this knowledge allows of the adoption of strategies to enhance or mitigate certain characteristics of the animals under study (Freitas, 2005;Cassiano & Sáfadi, 2015;Souza et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Several iterative methods are used, especially Gauss-Newton (PEREIRA et al, 2005;MENDES et al, 2008;ZEVIANI et al, 2012;CARNEIRO et al, 2014;FERNANDES at al., 2015). In regression studies, it is usual to admit in the estimation process and inference under parameters that the errors are independent, which does not necessarily occur when working with time-ordered data that are potentially correlated (CASSIANO; SÁFADI, 2015). In this case, the model parameters estimates can be biased, with values below or above the actual value (GUEDES et al, 2014;MAZZINI et al, 2005;FERNANDES et al, 2014), and one should consider the autocorrelation structure present in data in the model adjustment (PRADO et al, 2013a;RIBEIRO et al, 2018), as it may affect the value of the standard error estimate.…”
Section: Introductionmentioning
confidence: 99%