An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models

Detalhes bibliográficos
Autor(a) principal: Rocha, J. Leonel
Data de Publicação: 2013
Outros Autores: Aleixo, Sandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.21/2795
Resumo: In this work a new probabilistic and dynamical approach to an extension of the Gompertz law is proposed. A generalized family of probability density functions, designated by Beta* (p, q), which is proportional to the right hand side of the Tsoularis-Wallace model, is studied. In particular, for p = 2, the investigation is extended to the extreme value models of Weibull and Frechet type. These models, described by differential equations, are proportional to the hyper-Gompertz growth model. It is proved that the Beta* (2, q) densities are a power of betas mixture, and that its dynamics are determined by a non-linear coupling of probabilities. The dynamical analysis is performed using techniques of symbolic dynamics and the system complexity is measured using topological entropy. Generally, the natural history of a malignant tumour is reflected through bifurcation diagrams, in which are identified regions of regression, stability, bifurcation, chaos and terminus.
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spelling An Extension of Gompertzian Growth Dynamics Weibull and Frechet ModelsGrowth modelsExtreme value lawsBeta* (p, q) densitiesBifurcations and chaosSymbolic dynamicsTopological entropyTumour dynamicsLogistic ModelTumor-GrowthImmunotherapyIn this work a new probabilistic and dynamical approach to an extension of the Gompertz law is proposed. A generalized family of probability density functions, designated by Beta* (p, q), which is proportional to the right hand side of the Tsoularis-Wallace model, is studied. In particular, for p = 2, the investigation is extended to the extreme value models of Weibull and Frechet type. These models, described by differential equations, are proportional to the hyper-Gompertz growth model. It is proved that the Beta* (2, q) densities are a power of betas mixture, and that its dynamics are determined by a non-linear coupling of probabilities. The dynamical analysis is performed using techniques of symbolic dynamics and the system complexity is measured using topological entropy. Generally, the natural history of a malignant tumour is reflected through bifurcation diagrams, in which are identified regions of regression, stability, bifurcation, chaos and terminus.Amer Inst Mathematical SciencesRCIPLRocha, J. LeonelAleixo, Sandra2013-10-26T19:19:55Z2013-042013-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.21/2795eng1547-106310.3934/mbe.2013.10.379info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T07:25:33Zoai:repositorio.ipl.pt:10400.21/2795Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:49:27.977494Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
title An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
spellingShingle An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
Rocha, J. Leonel
Growth models
Extreme value laws
Beta* (p, q) densities
Bifurcations and chaos
Symbolic dynamics
Topological entropy
Tumour dynamics
Logistic Model
Tumor-Growth
Immunotherapy
title_short An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
title_full An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
title_fullStr An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
title_full_unstemmed An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
title_sort An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
author Rocha, J. Leonel
author_facet Rocha, J. Leonel
Aleixo, Sandra
author_role author
author2 Aleixo, Sandra
author2_role author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Rocha, J. Leonel
Aleixo, Sandra
dc.subject.por.fl_str_mv Growth models
Extreme value laws
Beta* (p, q) densities
Bifurcations and chaos
Symbolic dynamics
Topological entropy
Tumour dynamics
Logistic Model
Tumor-Growth
Immunotherapy
topic Growth models
Extreme value laws
Beta* (p, q) densities
Bifurcations and chaos
Symbolic dynamics
Topological entropy
Tumour dynamics
Logistic Model
Tumor-Growth
Immunotherapy
description In this work a new probabilistic and dynamical approach to an extension of the Gompertz law is proposed. A generalized family of probability density functions, designated by Beta* (p, q), which is proportional to the right hand side of the Tsoularis-Wallace model, is studied. In particular, for p = 2, the investigation is extended to the extreme value models of Weibull and Frechet type. These models, described by differential equations, are proportional to the hyper-Gompertz growth model. It is proved that the Beta* (2, q) densities are a power of betas mixture, and that its dynamics are determined by a non-linear coupling of probabilities. The dynamical analysis is performed using techniques of symbolic dynamics and the system complexity is measured using topological entropy. Generally, the natural history of a malignant tumour is reflected through bifurcation diagrams, in which are identified regions of regression, stability, bifurcation, chaos and terminus.
publishDate 2013
dc.date.none.fl_str_mv 2013-10-26T19:19:55Z
2013-04
2013-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/2795
url http://hdl.handle.net/10400.21/2795
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1547-1063
10.3934/mbe.2013.10.379
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Amer Inst Mathematical Sciences
publisher.none.fl_str_mv Amer Inst Mathematical Sciences
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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