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Advisor(s)
Abstract(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.
Description
Keywords
Extreme value theory Population dynamics Generalised Verhulst differential equations BetaBoop random variables
Pedagogical Context
Citation
Publisher
Springer
CC License
Without CC licence
