The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis (2018)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidades: ESALQ; ICMC
- DOI: 10.29220/CSAM.2018.25.5.523
- Subjects: INFERÊNCIA BAYESIANA; DADOS CENSURADOS; ANÁLISE DE SOBREVIVÊNCIA
- Keywords: bivariate failure time; diagnostics
- 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. 5, p. 523-544, Set. 2018
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
FACHINI-GOMES, Juliana B. et al. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, v. 25, n. 5, p. 523-544, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.5.523. Acesso em: 15 abr. 2026. -
APA
Fachini-Gomes, J. B., Ortega, E. M. M., Cordeiro, G. M., & Suzuki, A. K. (2018). The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, 25( 5), 523-544. doi:10.29220/CSAM.2018.25.5.523 -
NLM
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2026 abr. 15 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523 -
Vancouver
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2026 abr. 15 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523 - Regression models generated by gamma random variables with long-term survivors
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