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
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
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: 29 dez. 2025. -
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 2025 dez. 29 ] 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 2025 dez. 29 ] Available from: https://doi.org/10.1080/03610926.2015.1053945 - On estimation and influence diagnostics for a bivariate promotion lifetime model based on the FGM Copula: a fully bayesian computation
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Informações sobre o DOI: 10.1080/03610926.2015.1053945 (Fonte: oaDOI API)
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