Longitudinal data analysis of animal growth via multivariate dynamic models |
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Authors: | Emanuel P. Barbosa Helio S. Migon |
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Affiliation: | 1. Instituto de Ciências Exatas– UFMG , Belo Horizonte, MG, CP 702–30161–970, Brazil E-mail: emanuel at oraculo.lcc.ufmg;2. Instituto de Matemática – UFRJ , Rio de Janeiro, RJ, CP 68530–20944–970, Brazil E-mail: mad02014 at ufrj.bitnet |
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Abstract: | We propose models to analyze animal growth data with the aim of estimating and predicting quantities of biological and economical interest such as the maturing rate and asymptotic weight. It is also studied the effect of environmental factors of relevant influence in the growth process. The models considered in this paper are based on an extension and specialization of the dynamic hierarchical model (Gamerman & Migon, 1993) to a non–linear growth curve setting, where some of the growth curve parameters are considered exchangeable among the units. The inference for these models are approximate conjugate analysis based on Taylor series expansions and linear Bayes procedures |
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Keywords: | Longitudinal data Animal growth Dynamic hierarchical models Biological parameters |
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