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Uma abordagem clássica e bayesiana para os modelos de Gompertz e de Richards heteroscedásticos.

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Date
2005-09-16
Author
Buzolin, Prescila Glaucia Christianini
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Abstract
This work presents a classical and a Bayesian approaches to two sigmoidal grownth curves, the Gompertz and the Richards models. We consider the homoscedastic assumption and a multiplicative heteroscedastic structure. For the classical approach we use the maximum likelihood method and for bayesian approach we consider non-informative priors. The posterioris summaries were obtained by the use of the Metropolis-Hastings algorithm. The illustration of both approaches is made using a simulated and a real data set.
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https://repositorio.ufscar.br/handle/ufscar/4591
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UFSCar
Universidade Federal de São Carlos - UFSCar
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UFSCar
Universidade Federal de São Carlos - UFSCar
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UFSCar

IBICT