The gamma generalized pareto distribution with applications in survival analysis
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/49660 |
Resumo: | We study a three-parameter model named the gamma generalized Pareto distribution. This distribution extends the generalized Pareto model, which has many applications in areas such as insurance, reliability, finance and many others. We derive some of its characterizations and mathematical properties including explicit expressions for the density and quantile functions, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, generating function, R´enyientropy and order statistics. We discuss the estimation of the model parameters by maximum likelihood. A small Monte Carlo simulation study and two applications to real data are presented. We hope that this distribution may be useful for modeling survival and reliability data. |
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Andrade, Thiago A. N. deFernandez, Luz Milena ZeaSilva, Frank GomesCordeiro, Gauss M.2022-10-31T22:04:11Z2022-10-31T22:04:11Z2017-05ANDRADE, Thiago A. N. et al. The Gamma Generalized Pareto Distribution with Applications in Survival Analysis. Iinternational Journal of Statistics and Probability, v. 6, p. 141-156, 2017. Disponível em: http://www.ccsenet.org/journal/index.php/ijsp/article/view/67750. Acesso em: 07 dez. 2017https://repositorio.ufrn.br/handle/123456789/4966010.5539/ijsp.v6n3p141International Journal of Statistics and ProbabilityGeneralized pareto distributionHazard rate functionSurvival functionThe gamma generalized pareto distribution with applications in survival analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleWe study a three-parameter model named the gamma generalized Pareto distribution. This distribution extends the generalized Pareto model, which has many applications in areas such as insurance, reliability, finance and many others. We derive some of its characterizations and mathematical properties including explicit expressions for the density and quantile functions, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, generating function, R´enyientropy and order statistics. We discuss the estimation of the model parameters by maximum likelihood. A small Monte Carlo simulation study and two applications to real data are presented. We hope that this distribution may be useful for modeling survival and reliability data.info:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALTheGammaGeneralized_2017.pdfTheGammaGeneralized_2017.pdfapplication/pdf979981https://repositorio.ufrn.br/bitstream/123456789/49660/1/TheGammaGeneralized_2017.pdf1c66215adf248195f49438e62ab4572cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ufrn.br/bitstream/123456789/49660/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/496602022-10-31 19:04:11.847oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-10-31T22:04:11Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
The gamma generalized pareto distribution with applications in survival analysis |
title |
The gamma generalized pareto distribution with applications in survival analysis |
spellingShingle |
The gamma generalized pareto distribution with applications in survival analysis Andrade, Thiago A. N. de Generalized pareto distribution Hazard rate function Survival function |
title_short |
The gamma generalized pareto distribution with applications in survival analysis |
title_full |
The gamma generalized pareto distribution with applications in survival analysis |
title_fullStr |
The gamma generalized pareto distribution with applications in survival analysis |
title_full_unstemmed |
The gamma generalized pareto distribution with applications in survival analysis |
title_sort |
The gamma generalized pareto distribution with applications in survival analysis |
author |
Andrade, Thiago A. N. de |
author_facet |
Andrade, Thiago A. N. de Fernandez, Luz Milena Zea Silva, Frank Gomes Cordeiro, Gauss M. |
author_role |
author |
author2 |
Fernandez, Luz Milena Zea Silva, Frank Gomes Cordeiro, Gauss M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Andrade, Thiago A. N. de Fernandez, Luz Milena Zea Silva, Frank Gomes Cordeiro, Gauss M. |
dc.subject.por.fl_str_mv |
Generalized pareto distribution Hazard rate function Survival function |
topic |
Generalized pareto distribution Hazard rate function Survival function |
description |
We study a three-parameter model named the gamma generalized Pareto distribution. This distribution extends the generalized Pareto model, which has many applications in areas such as insurance, reliability, finance and many others. We derive some of its characterizations and mathematical properties including explicit expressions for the density and quantile functions, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, generating function, R´enyientropy and order statistics. We discuss the estimation of the model parameters by maximum likelihood. A small Monte Carlo simulation study and two applications to real data are presented. We hope that this distribution may be useful for modeling survival and reliability data. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017-05 |
dc.date.accessioned.fl_str_mv |
2022-10-31T22:04:11Z |
dc.date.available.fl_str_mv |
2022-10-31T22:04:11Z |
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.citation.fl_str_mv |
ANDRADE, Thiago A. N. et al. The Gamma Generalized Pareto Distribution with Applications in Survival Analysis. Iinternational Journal of Statistics and Probability, v. 6, p. 141-156, 2017. Disponível em: http://www.ccsenet.org/journal/index.php/ijsp/article/view/67750. Acesso em: 07 dez. 2017 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/49660 |
dc.identifier.doi.none.fl_str_mv |
10.5539/ijsp.v6n3p141 |
identifier_str_mv |
ANDRADE, Thiago A. N. et al. The Gamma Generalized Pareto Distribution with Applications in Survival Analysis. Iinternational Journal of Statistics and Probability, v. 6, p. 141-156, 2017. Disponível em: http://www.ccsenet.org/journal/index.php/ijsp/article/view/67750. Acesso em: 07 dez. 2017 10.5539/ijsp.v6n3p141 |
url |
https://repositorio.ufrn.br/handle/123456789/49660 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
International Journal of Statistics and Probability |
publisher.none.fl_str_mv |
International Journal of Statistics and Probability |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
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Universidade Federal do Rio Grande do Norte (UFRN) |
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UFRN |
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UFRN |
reponame_str |
Repositório Institucional da UFRN |
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Repositório Institucional da UFRN |
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https://repositorio.ufrn.br/bitstream/123456789/49660/1/TheGammaGeneralized_2017.pdf https://repositorio.ufrn.br/bitstream/123456789/49660/2/license.txt |
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Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
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