Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life (2017)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidades: ESALQ; ICMC
- DOI: 10.5351/CSAM.2017.24.3.271
- Subjects: PROBABILIDADE; INFERÊNCIA BAYESIANA; INFERÊNCIA PARAMÉTRICA; INFERÊNCIA ESTATÍSTICA
- Keywords: Clayton copula; Frank copula; local influence; regression model; Weibull distribution
- 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. 3, p. 271-290, 2017
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
CRUZ, José N. da et al. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life. Communications for Statistical Applications and Methods, v. 24, n. 3, p. 271-290, 2017Tradução . . Disponível em: https://doi.org/10.5351/CSAM.2017.24.3.271. Acesso em: 15 abr. 2026. -
APA
Cruz, J. N. da, Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Mialhe, F. L. (2017). Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life. Communications for Statistical Applications and Methods, 24( 3), 271-290. doi:10.5351/CSAM.2017.24.3.271 -
NLM
Cruz JN da, Ortega EMM, Cordeiro GM, Suzuki AK, Mialhe FL. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 3): 271-290.[citado 2026 abr. 15 ] Available from: https://doi.org/10.5351/CSAM.2017.24.3.271 -
Vancouver
Cruz JN da, Ortega EMM, Cordeiro GM, Suzuki AK, Mialhe FL. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 3): 271-290.[citado 2026 abr. 15 ] Available from: https://doi.org/10.5351/CSAM.2017.24.3.271 - Regression models generated by gamma random variables with long-term survivors
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