Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods

Detalhes bibliográficos
Autor(a) principal: Aguilar, Guilherme A. S.
Data de Publicação: 2019
Outros Autores: Moala, Fernando A. [UNESP], Cordeiro, Gauss M.
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.
id UNSP_155e07c7654b6d84aeebbf6f22653759
oai_identifier_str oai:repositorio.unesp.br:11449/186141
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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