The exponentiated generalized standardized half-logistic distribution

Página do item simplificado Estatísticas
dc.contributor.authorCordeiro, Gauss M.
dc.contributor.authorAndrade, Thiago A. N. de
dc.contributor.authorBourguignon, Marcelo
dc.contributor.authorSilva, Frank Gomes
dc.date.accessioned2022-12-08T20:29:22Z
dc.date.available2022-12-08T20:29:22Z
dc.date.issued2017-05
dc.description.resumoWe study a new two-parameter lifetime model called the exponentiated generalized standardized half-logistic distribution, which extends the half-logistic pioneered by Balakrishnan in the eighties. We provide explicit expressions for the moments, generating and quantile functions, mean deviations, Bonferroni and Lorenz curves, and order statistics. The model parameters are estimated by the maximum likelihood method. A simulation study reveals that the estimators have desirable properties such as small biases and variances even in moderate sample sizes. We prove empirically that the new distribution provides a better fit to a real data set than other competitive models.pt_BR
dc.identifier.citationCORDEIRO, Gauss M.; et al. The Exponentiated Generalized Standardized Half-logistic Distribution. International Journal of Statistics and Probability, v. 6, p. 24-42, 2017. Disponível em: http://www.ccsenet.org/journal/index.php/ijsp/article/view/67120. Acesso em: 07 dez. 2017pt_BR
dc.identifier.issn1927-7032
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/50048
dc.languageenpt_BR
dc.publisherCanadian Center of Science and Educationpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectExponentiated generalized classpt_BR
dc.subjectHalf-logistic distributionpt_BR
dc.subjectHazard rate functionpt_BR
dc.subjectLifetime distributionpt_BR
dc.subjectMomentpt_BR
dc.titleThe exponentiated generalized standardized half-logistic distributionpt_BR
dc.typearticlept_BR

Arquivos

Pacote Original

Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
TheExponentiatedGeneralized_2017.pdf
Tamanho:
1.72 MB
Formato:
Adobe Portable Document Format
Nenhuma Miniatura disponível
Baixar

Licença do Pacote

Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Nenhuma Miniatura disponível
Baixar

Coleções

CCET - DEST - Artigos publicados em periódicos
Repositório Institucional - UFRN Campus Universitário Lagoa NovaCEP 59078-970 Caixa postal 1524 Natal/RN - BrasilUniversidade Federal do Rio Grande do Norte© Copyright 2025. Todos os direitos reservados.
Contato+55 (84) 3342-2260 - R232Setor de Repositórios Digitaisrepositorio@bczm.ufrn.br
DSpaceIBICT
OasisBR
LAReferencia
Customizado pela CAT - BCZM