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Population growth and geometrically-thinned extreme value theory
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Orientador(es)
Resumo(s)
Starting from the simple Beta(2,2) model, connected to the Verhulst logistic parabola, several extensions are discussed, and connections to extremal models are revealed. Aside from the classical general extreme value model, extreme value models in randomly stopped extremes schemes are also discussed. Logistic and Gompertz growth equations are the usual choice to model sustainable growth. Therefore, observing that the logistic distribution is (geo)max-stable and the Gompertz function is proportional to the Gumbel max-stable distribution, other growth models, related to classical and to geometrically thinned extreme value theory are investigated.
Descrição
Palavras-chave
Extreme value theory Population dynamics Generalised Verhulst differential equations BetaBoop random variables
Contexto Educativo
Citação
Editora
Springer
Licença CC
Sem licença CC