Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework (2020)
- Authors:
- USP affiliated authors: LOUZADA NETO, FRANCISCO - ICMC ; EHLERS, RICARDO SANDES - ICMC ; ALMEIDA, MARCO POLLO - Interinstitucional de Pós-Graduação em Estatística ; RAMOS, PEDRO LUIZ - ICMC
- Unidades: ICMC; Interinstitucional de Pós-Graduação em Estatística
- DOI: 10.1016/j.ress.2020.107145
- Subjects: MÉTODOS MCMC; ANÁLISE DE DADOS; INFERÊNCIA BAYESIANA
- Keywords: Bayesian non-parametric; Shared frailty; Repairable systems; Power law process; Dependent competing risks; Hamiltonian Monte Carlo
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Reliability Engineering and System Safety
- ISSN: 0951-8320
- Volume/Número/Paginação/Ano: v. 204, p. 1-13, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALMEIDA, Marco Pollo et al. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework. Reliability Engineering and System Safety, v. 204, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2020.107145. Acesso em: 28 dez. 2025. -
APA
Almeida, M. P., Paixão, R. S., Ramos, P. L., Tomazella, V. L. D., Louzada, F., & Ehlers, R. S. (2020). Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework. Reliability Engineering and System Safety, 204, 1-13. doi:10.1016/j.ress.2020.107145 -
NLM
Almeida MP, Paixão RS, Ramos PL, Tomazella VLD, Louzada F, Ehlers RS. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework [Internet]. Reliability Engineering and System Safety. 2020 ; 204 1-13.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.ress.2020.107145 -
Vancouver
Almeida MP, Paixão RS, Ramos PL, Tomazella VLD, Louzada F, Ehlers RS. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework [Internet]. Reliability Engineering and System Safety. 2020 ; 204 1-13.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.ress.2020.107145 - Improved Bayes estimators and prediction for the Wilson-Hilferty distribution
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Informações sobre o DOI: 10.1016/j.ress.2020.107145 (Fonte: oaDOI API)
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