Publicação: Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods
dc.contributor.author | Aguilar, Guilherme A. S. | |
dc.contributor.author | Moala, Fernando A. [UNESP] | |
dc.contributor.author | Cordeiro, Gauss M. | |
dc.contributor.institution | Universidade Federal de Minas Gerais (UFMG) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Federal de Pernambuco (UFPE) | |
dc.date.accessioned | 2019-10-04T12:41:36Z | |
dc.date.available | 2019-10-04T12:41:36Z | |
dc.date.issued | 2019-12-01 | |
dc.description.abstract | 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. | en |
dc.description.affiliation | Univ Fed Minas Gerais, Dept Stat, ICEX, Av Pres Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, Brazil | |
dc.description.affiliation | Sao Paulo State Univ, FCT, Dept Stat, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, Brazil | |
dc.description.affiliation | Univ Fed Pernambuco, CCEN, Dept Stat, Av Prof Moraes Rego 1235,Cidade Univ, BR-50740540 Recife, PE, Brazil | |
dc.description.affiliationUnesp | Sao Paulo State Univ, FCT, Dept Stat, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, Brazil | |
dc.format.extent | 20 | |
dc.identifier | http://dx.doi.org/10.1007/s42519-019-0059-2 | |
dc.identifier.citation | Journal Of Statistical Theory And Practice. New York: Springer, v. 13, n. 4, 20 p., 2019. | |
dc.identifier.doi | 10.1007/s42519-019-0059-2 | |
dc.identifier.issn | 1559-8608 | |
dc.identifier.lattes | 1621269552366697 | |
dc.identifier.orcid | 0000-0002-2445-0407 | |
dc.identifier.uri | http://hdl.handle.net/11449/186141 | |
dc.identifier.wos | WOS:000484567500001 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Journal Of Statistical Theory And Practice | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.subject | Exponentiated gamma | |
dc.subject | Maximum likelihood | |
dc.subject | Zero-truncated Poisson | |
dc.subject | Bayesian estimation | |
dc.title | Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods | en |
dc.type | Artigo | |
dcterms.license | http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0 | |
dcterms.rightsHolder | Springer | |
dspace.entity.type | Publication | |
unesp.author.lattes | 1621269552366697[2] | |
unesp.author.orcid | 0000-0002-2445-0407[2] | |
unesp.department | Estatística - FCT | pt |