Population growth and geometrically-thinned extreme value theory

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Autor(es): dc.contributorHenriques-Rodrigues, L.-
Autor(es): dc.contributorMenezes, R.-
Autor(es): dc.contributorMachado, L.M.-
Autor(es): dc.contributorFaria, S.-
Autor(es): dc.contributorde Carvalho, M.-
Autor(es): dc.creatorBrilhante, Maria de Fátima-
Autor(es): dc.creatorGomes, Maria Ivette-
Autor(es): dc.creatorMendonça, Sandra-
Autor(es): dc.creatorPestana, Dinis-
Autor(es): dc.creatorPestana, Pedro Duarte-
Data de aceite: dc.date.accessioned2026-08-11T12:30:05Z-
Data de disponibilização: dc.date.available2026-08-11T12:30:05Z-
Data de envio: dc.date.issued2026-01-11-
Data de envio: dc.date.issued2026-01-11-
Data de envio: dc.date.issued2024-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/20769-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/20769-
Descrição: dc.descriptionStarting 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Direitos: dc.rightsN/A-
Palavras-chave: dc.subjectExtreme value theory-
Palavras-chave: dc.subjectPopulation dynamics-
Palavras-chave: dc.subjectGeneralised Verhulst differential equations-
Palavras-chave: dc.subjectBetaBoop random variables-
Título: dc.titlePopulation growth and geometrically-thinned extreme value theory-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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