Statistical inference for generalized power-law process in repairable systems (2024)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.cam.2024.115799
- Subjects: PROCESSOS DE POISSON; FALHA; VEROSSIMILHANÇA; MÉTODO DE MONTE CARLO
- Keywords: Generalized Power Law Process; Non-Homogeneous Poisson Process; Repairable systems; Point of change; Imperfect repair
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Computational and Applied Mathematics
- ISSN: 0377-0427
- Volume/Número/Paginação/Ano: v. 445, p. 1-20, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LOPES, Tito et al. Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, v. 445, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2024.115799. Acesso em: 20 fev. 2026. -
APA
Lopes, T., Tomazella, V. L. D., Leão, J., Ramos, P. L., & Louzada, F. (2024). Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, 445, 1-20. doi:10.1016/j.cam.2024.115799 -
NLM
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1016/j.cam.2024.115799 -
Vancouver
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1016/j.cam.2024.115799 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1016/j.cam.2024.115799 (Fonte: oaDOI API)
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