A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics (2017)
- Authors:
- USP affiliated authors: SUZUKI, ADRIANO KAMIMURA - ICMC ; LOUZADA NETO, FRANCISCO - ICMC ; CANCHO, VICENTE GARIBAY - ICMC
- Unidade: ICMC
- DOI: 10.1080/03610926.2015.1053945
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; DISTRIBUIÇÕES (PROBABILIDADE); MODELOS MATEMÁTICOS; INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA; INFERÊNCIA ESTATÍSTICA
- Keywords: Competing risks; cure rate models; cured fraction; logarithmic distribution; long-term aging models
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Statistics - Theory and Methods
- ISSN: 0361-0926
- Volume/Número/Paginação/Ano: v. 46, n. 6, p. 3080-3098, 2017
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
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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: 04 abr. 2026. -
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:10.1080/03610926.2015.1053945 -
NLM
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 2026 abr. 04 ] Available from: https://doi.org/10.1080/03610926.2015.1053945 -
Vancouver
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 2026 abr. 04 ] Available from: https://doi.org/10.1080/03610926.2015.1053945 - The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics
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