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|Title: ||Consequences of an incorrect model specification on population growth|
|Authors: ||Carlos, Clara|
Braumann, Carlos A.
|Editors: ||Pacheco, A.|
|Keywords: ||population growth|
incorrect model specification
stochastic differential equations
|Issue Date: ||2014|
|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.|
|Appears in Collections:||MAT - Publicações - Capítulos de Livros|
CIMA - Publicações - Capítulos de Livros
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