The Marshall-Olkin generalized gamma distribution (2018)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; LOUZADA NETO, FRANCISCO - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidade: ICMC
- DOI: 10.29220/CSAM.2018.25.3.245
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); VEROSSIMILHANÇA; ANÁLISE DE SOBREVIVÊNCIA
- Keywords: cure fraction model; generalized gamma distribution; geometric distribution; maximum likelihood; lifetime data
- Language: Inglês
- Imprenta:
- Publisher place: Seoul, Korea
- Date published: 2018
- Source:
- Título: Communications for Statistical Applications and Methods
- ISSN: 2287-7843
- Volume/Número/Paginação/Ano: v. 25, n. 3, p. 245-261, Mai. 2018
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
BARRIGA, Gladys D. C. et al. The Marshall-Olkin generalized gamma distribution. Communications for Statistical Applications and Methods, v. 25, n. 3, p. 245-261, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.3.245. Acesso em: 04 abr. 2026. -
APA
Barriga, G. D. C., Cordeiro, G. M., Dey, D. K., Cancho, V. G., Louzada, F., & Suzuki, A. K. (2018). The Marshall-Olkin generalized gamma distribution. Communications for Statistical Applications and Methods, 25( 3), 245-261. doi:10.29220/CSAM.2018.25.3.245 -
NLM
Barriga GDC, Cordeiro GM, Dey DK, Cancho VG, Louzada F, Suzuki AK. The Marshall-Olkin generalized gamma distribution [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 3): 245-261.[citado 2026 abr. 04 ] Available from: https://doi.org/10.29220/CSAM.2018.25.3.245 -
Vancouver
Barriga GDC, Cordeiro GM, Dey DK, Cancho VG, Louzada F, Suzuki AK. The Marshall-Olkin generalized gamma distribution [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 3): 245-261.[citado 2026 abr. 04 ] Available from: https://doi.org/10.29220/CSAM.2018.25.3.245 - The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics
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