Publicação
Population growth and geometrically-thinned extreme value theory
| datacite.subject.fos | Ciências Naturais::Matemáticas | |
| dc.contributor.author | Brilhante, Maria de Fátima | |
| dc.contributor.author | Gomes, Maria Ivette | |
| dc.contributor.author | Mendonça, Sandra | |
| dc.contributor.author | Pestana, Dinis | |
| dc.contributor.author | Pestana, Pedro Duarte | |
| dc.contributor.editor | Henriques-Rodrigues, L. | |
| dc.contributor.editor | Menezes, R. | |
| dc.contributor.editor | Machado, L.M. | |
| dc.contributor.editor | Faria, S. | |
| dc.contributor.editor | de Carvalho, M. | |
| dc.date.accessioned | 2026-01-12T17:11:25Z | |
| dc.date.available | 2026-01-12T17:11:25Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | 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. | eng |
| dc.identifier.doi | 10.1007/978-3-031-68949-9_2 | |
| dc.identifier.isbn | 978-3-031-68949-9 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/20769 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer | |
| dc.rights.uri | N/A | |
| dc.subject | Extreme value theory | |
| dc.subject | Population dynamics | |
| dc.subject | Generalised Verhulst differential equations | |
| dc.subject | BetaBoop random variables | |
| dc.title | Population growth and geometrically-thinned extreme value theory | eng |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 26 | |
| oaire.citation.startPage | 13 | |
| oaire.citation.title | New Frontiers in Statistics and Data Science | |
| oaire.citation.volume | 469 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.affiliation.name | Universidade Aberta | |
| person.familyName | Brilhante | |
| person.familyName | Pestana | |
| person.givenName | Maria de Fátima | |
| person.givenName | Pedro Duarte | |
| person.identifier.ciencia-id | 2714-8A7B-5CCA | |
| person.identifier.orcid | 0000-0001-9276-7011 | |
| person.identifier.orcid | 0000-0002-3406-1077 | |
| person.identifier.rid | E-7273-2016 | |
| person.identifier.scopus-author-id | 56074016300 | |
| relation.isAuthorOfPublication | c7d7e495-4415-4e86-9ad6-c142069849c7 | |
| relation.isAuthorOfPublication | 755592cd-7905-4c94-9eba-1bb83ce10355 | |
| relation.isAuthorOfPublication.latestForDiscovery | c7d7e495-4415-4e86-9ad6-c142069849c7 |
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