A new extended Birnbaum-Saunders model with cure fraction: classical and Bayesian approach (2017)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidades: ESALQ; ICMC
- DOI: 10.5351/CSAM.2017.24.4.397
- Subjects: PROBABILIDADE; INFERÊNCIA BAYESIANA; INFERÊNCIA PARAMÉTRICA; INFERÊNCIA ESTATÍSTICA
- Keywords: Bayesian estimation; Birnbaum-Saunders distribution; lifetime data distribution; maximum likelihood estimation; simulations
- Language: Inglês
- Imprenta:
- Publisher place: Seoul, Korea
- Date published: 2017
- Source:
- Título: Communications for Statistical Applications and Methods
- ISSN: 2287-7843
- Volume/Número/Paginação/Ano: v. 24, n. 4, 397-419, 2017
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ORTEGA, Edwin Moisés Marcos et al. A new extended Birnbaum-Saunders model with cure fraction: classical and Bayesian approach. Communications for Statistical Applications and Methods, v. 24, n. 4, 2017Tradução . . Disponível em: https://doi.org/10.5351/CSAM.2017.24.4.397. Acesso em: 13 abr. 2026. -
APA
Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Ramires, T. G. (2017). A new extended Birnbaum-Saunders model with cure fraction: classical and Bayesian approach. Communications for Statistical Applications and Methods, 24( 4). doi:10.5351/CSAM.2017.24.4.397 -
NLM
Ortega EMM, Cordeiro GM, Suzuki AK, Ramires TG. A new extended Birnbaum-Saunders model with cure fraction: classical and Bayesian approach [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 4):[citado 2026 abr. 13 ] Available from: https://doi.org/10.5351/CSAM.2017.24.4.397 -
Vancouver
Ortega EMM, Cordeiro GM, Suzuki AK, Ramires TG. A new extended Birnbaum-Saunders model with cure fraction: classical and Bayesian approach [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 4):[citado 2026 abr. 13 ] Available from: https://doi.org/10.5351/CSAM.2017.24.4.397 - Regression models generated by gamma random variables with long-term survivors
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