Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
ABNT
SUZUKI, Adriano Kamimura et al. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, v. 46, n. 6, p. 3080-3098, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1053945. Acesso em: 25 ago. 2024.APA
Suzuki, A. K., Barriga, G. D. C., Louzada, F., & Cancho, V. G. (2017). A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, 46( 6), 3080-3098. doi:10.1080/03610926.2015.1053945NLM
Suzuki AK, Barriga GDC, Louzada F, Cancho VG. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 6): 3080-3098.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1080/03610926.2015.1053945Vancouver
Suzuki AK, Barriga GDC, Louzada F, Cancho VG. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 6): 3080-3098.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1080/03610926.2015.1053945