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Title: Consequences of an incorrect model specification on population growth
Authors: Carlos, Clara
Braumann, Carlos A.
Editors: Pacheco, A.
Oliveira, R.
Santos, R.
Keywords: population growth
random environments
incorrect model specification
stochastic differential equations
extinction time
Issue Date: 2014
Publisher: Springer
Citation: Carlos, C.; Braumann, C.A. (2014). Consequences of an incorrect model specification on population growth. In "New Advances in Statistical Modeling and Applications" (Pacheco, A.; Oliveira, R.; Santos, R.; eds.), Springer, Berlin, 105-113
Abstract: We consider stochastic differential equations to model the growth of a population ina randomly varying environment. These growth models are usually based on classical deterministic models, such as the logistic or the Gompertz models, taken as approximate models of the "true" (usually unknown) growth rate. We study the effect of the gap between the approximate and the "true" model on model predictions, particularly on asymptotiv behavior and mean and variance of the time to extinction of the population.
ISBN: 978-3-319-05323-3
Type: bookPart
Appears in Collections:MAT - Publicações - Capítulos de Livros
CIMA - Publicações - Capítulos de Livros

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