Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1007/s42519-019-0059-2 |
Texto Completo: | http://dx.doi.org/10.1007/s42519-019-0059-2 http://hdl.handle.net/11449/186141 |
Resumo: | We define a new two-parameter lifetime model called the zero-truncated Poisson exponentiated gamma distribution. The hazard function of the new distribution has monotonic and non-monotonic shapes, which allows to fit more dispersed data. The proposed distribution has the advantage of having only two parameters and consequently provides an easier way for estimating the model parameters differently from other distributions with three or more parameters. We obtain some of its structural properties. Several methods of estimation of the model parameters are presented. A simulation with ten different models of estimators was performed in order to compare the performance and accuracy of such proposed estimators. An application to real data was included. |
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Repositório Institucional da UNESP |
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Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation MethodsExponentiated gammaMaximum likelihoodZero-truncated PoissonBayesian estimationWe define a new two-parameter lifetime model called the zero-truncated Poisson exponentiated gamma distribution. The hazard function of the new distribution has monotonic and non-monotonic shapes, which allows to fit more dispersed data. The proposed distribution has the advantage of having only two parameters and consequently provides an easier way for estimating the model parameters differently from other distributions with three or more parameters. We obtain some of its structural properties. Several methods of estimation of the model parameters are presented. A simulation with ten different models of estimators was performed in order to compare the performance and accuracy of such proposed estimators. An application to real data was included.Univ Fed Minas Gerais, Dept Stat, ICEX, Av Pres Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, BrazilSao Paulo State Univ, FCT, Dept Stat, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, BrazilUniv Fed Pernambuco, CCEN, Dept Stat, Av Prof Moraes Rego 1235,Cidade Univ, BR-50740540 Recife, PE, BrazilSao Paulo State Univ, FCT, Dept Stat, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, BrazilSpringerUniversidade Federal de Minas Gerais (UFMG)Universidade Estadual Paulista (Unesp)Universidade Federal de Pernambuco (UFPE)Aguilar, Guilherme A. S.Moala, Fernando A. [UNESP]Cordeiro, Gauss M.2019-10-04T12:41:36Z2019-10-04T12:41:36Z2019-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20http://dx.doi.org/10.1007/s42519-019-0059-2Journal Of Statistical Theory And Practice. New York: Springer, v. 13, n. 4, 20 p., 2019.1559-8608http://hdl.handle.net/11449/18614110.1007/s42519-019-0059-2WOS:00048456750000116212695523666970000-0002-2445-0407Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Statistical Theory And Practiceinfo:eu-repo/semantics/openAccess2024-06-18T18:18:05Zoai:repositorio.unesp.br:11449/186141Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:40:39.485183Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
title |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
spellingShingle |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods Aguilar, Guilherme A. S. Exponentiated gamma Maximum likelihood Zero-truncated Poisson Bayesian estimation Aguilar, Guilherme A. S. Exponentiated gamma Maximum likelihood Zero-truncated Poisson Bayesian estimation |
title_short |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
title_full |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
title_fullStr |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
title_full_unstemmed |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
title_sort |
Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods |
author |
Aguilar, Guilherme A. S. |
author_facet |
Aguilar, Guilherme A. S. Aguilar, Guilherme A. S. Moala, Fernando A. [UNESP] Cordeiro, Gauss M. Moala, Fernando A. [UNESP] Cordeiro, Gauss M. |
author_role |
author |
author2 |
Moala, Fernando A. [UNESP] Cordeiro, Gauss M. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Minas Gerais (UFMG) Universidade Estadual Paulista (Unesp) Universidade Federal de Pernambuco (UFPE) |
dc.contributor.author.fl_str_mv |
Aguilar, Guilherme A. S. Moala, Fernando A. [UNESP] Cordeiro, Gauss M. |
dc.subject.por.fl_str_mv |
Exponentiated gamma Maximum likelihood Zero-truncated Poisson Bayesian estimation |
topic |
Exponentiated gamma Maximum likelihood Zero-truncated Poisson Bayesian estimation |
description |
We define a new two-parameter lifetime model called the zero-truncated Poisson exponentiated gamma distribution. The hazard function of the new distribution has monotonic and non-monotonic shapes, which allows to fit more dispersed data. The proposed distribution has the advantage of having only two parameters and consequently provides an easier way for estimating the model parameters differently from other distributions with three or more parameters. We obtain some of its structural properties. Several methods of estimation of the model parameters are presented. A simulation with ten different models of estimators was performed in order to compare the performance and accuracy of such proposed estimators. An application to real data was included. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-04T12:41:36Z 2019-10-04T12:41:36Z 2019-12-01 |
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://dx.doi.org/10.1007/s42519-019-0059-2 Journal Of Statistical Theory And Practice. New York: Springer, v. 13, n. 4, 20 p., 2019. 1559-8608 http://hdl.handle.net/11449/186141 10.1007/s42519-019-0059-2 WOS:000484567500001 1621269552366697 0000-0002-2445-0407 |
url |
http://dx.doi.org/10.1007/s42519-019-0059-2 http://hdl.handle.net/11449/186141 |
identifier_str_mv |
Journal Of Statistical Theory And Practice. New York: Springer, v. 13, n. 4, 20 p., 2019. 1559-8608 10.1007/s42519-019-0059-2 WOS:000484567500001 1621269552366697 0000-0002-2445-0407 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Statistical Theory And Practice |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1822182400202899456 |
dc.identifier.doi.none.fl_str_mv |
10.1007/s42519-019-0059-2 |