An Extension of Gompertzian Growth Dynamics Weibull and Frechet Models
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2013 |
| Outros Autores: | |
| 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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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Amer Inst Mathematical Sciences |
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Amer Inst Mathematical Sciences |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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