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Artigo de periodico
Inverse Gaussian process model with frailty term in reliability analysis (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Balakrishnan, Narayanaswamy ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Quality and Reliability Engineering International. Unidade: ICMC
Subjects: FALHA, PROCESSOS GAUSSIANOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORITA, Lia Hanna Martins et al. Inverse Gaussian process model with frailty term in reliability analysis. Quality and Reliability Engineering International, v. 37, p. 763-784, 2021Tradução . . Disponível em: https://doi.org/10.1002/qre.2762. Acesso em: 02 out. 2024.
APA
Morita, L. H. M., Tomazella, V. L. D., Balakrishnan, N., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). Inverse Gaussian process model with frailty term in reliability analysis. Quality and Reliability Engineering International, 37, 763-784. doi:10.1002/qre.2762
NLM
Morita LHM, Tomazella VLD, Balakrishnan N, Ramos PL, Ferreira PH, Louzada F. Inverse Gaussian process model with frailty term in reliability analysis [Internet]. Quality and Reliability Engineering International. 2021 ; 37 763-784.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/qre.2762
Vancouver
Morita LHM, Tomazella VLD, Balakrishnan N, Ramos PL, Ferreira PH, Louzada F. Inverse Gaussian process model with frailty term in reliability analysis [Internet]. Quality and Reliability Engineering International. 2021 ; 37 763-784.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/qre.2762
Artigo de periodico
Alpha skew Gaussian naïve Bayes classifier (2021)
Ara, Anderson ; Louzada, Francisco
Source: International Journal of Information Technology and Decision Making. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, ASSIMETRIA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARA, Anderson e LOUZADA, Francisco. Alpha skew Gaussian naïve Bayes classifier. International Journal of Information Technology and Decision Making, v. 20, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.1142/S0219622021500644. Acesso em: 02 out. 2024.
APA
Ara, A., & Louzada, F. (2021). Alpha skew Gaussian naïve Bayes classifier. International Journal of Information Technology and Decision Making, 20, 1-22. doi:10.1142/S0219622021500644
NLM
Ara A, Louzada F. Alpha skew Gaussian naïve Bayes classifier [Internet]. International Journal of Information Technology and Decision Making. 2021 ; 20 1-22.[citado 2024 out. 02 ] Available from: https://doi.org/10.1142/S0219622021500644
Vancouver
Ara A, Louzada F. Alpha skew Gaussian naïve Bayes classifier [Internet]. International Journal of Information Technology and Decision Making. 2021 ; 20 1-22.[citado 2024 out. 02 ] Available from: https://doi.org/10.1142/S0219622021500644
Trabalho de evento
A Gaussian approximation of the posterior for digital map-based localization using a particle filter (2021)
Przewodowski Filho, Carlos Andre Braile ; Osório, Fernando Santos
Source: Proceedings. Conference titles: IEEE Intelligent Transportation Systems Conference - ITSC. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, MAPAS, VEÍCULOS, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRZEWODOWSKI FILHO, Carlos Andre Braile e OSÓRIO, Fernando Santos. A Gaussian approximation of the posterior for digital map-based localization using a particle filter. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ITSC48978.2021.9564908. Acesso em: 02 out. 2024.
APA
Przewodowski Filho, C. A. B., & Osório, F. S. (2021). A Gaussian approximation of the posterior for digital map-based localization using a particle filter. In Proceedings. Piscataway: IEEE. doi:10.1109/ITSC48978.2021.9564908
NLM
Przewodowski Filho CAB, Osório FS. A Gaussian approximation of the posterior for digital map-based localization using a particle filter [Internet]. Proceedings. 2021 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/ITSC48978.2021.9564908
Vancouver
Przewodowski Filho CAB, Osório FS. A Gaussian approximation of the posterior for digital map-based localization using a particle filter [Internet]. Proceedings. 2021 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/ITSC48978.2021.9564908
Artigo de periodico
Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Balakrishnan, Narayanaswamy ; Louzada, Francisco
Source: Applied Stochastic Models in Business and Industry. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORITA, Lia Hanna Martins et al. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, v. 37, n. 3, p. 612-627, 2021Tradução . . Disponível em: https://doi.org/10.1002/asmb.2601. Acesso em: 02 out. 2024.
APA
Morita, L. H. M., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., Balakrishnan, N., & Louzada, F. (2021). Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, 37( 3), 612-627. doi:10.1002/asmb.2601
NLM
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/asmb.2601
Vancouver
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/asmb.2601

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