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Filtros : "Probability in the Engineering and Informational Sciences" Removido: "1987" Limpar

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Artigo de periodico
A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes (2022)
Bueno, Vanderlei da Costa ; Balakrishnan, Narayanaswamy
Source: Probability in the Engineering and Informational Sciences. Unidade: IME
Subjects: SUFICIÊNCIA, TEORIA DA INFORMAÇÃO, ENTROPIA, PROCESSOS DE POISSON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes. Probability in the Engineering and Informational Sciences, v. 36, n. 2, p. 294-319, 2022Tradução . . Disponível em: https://doi.org/10.1017/S0269964820000637. Acesso em: 15 dez. 2025.
APA
Bueno, V. da C., & Balakrishnan, N. (2022). A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes. Probability in the Engineering and Informational Sciences, 36( 2), 294-319. doi:10.1017/S0269964820000637
NLM
Bueno V da C, Balakrishnan N. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes [Internet]. Probability in the Engineering and Informational Sciences. 2022 ; 36( 2): 294-319.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1017/S0269964820000637
Vancouver
Bueno V da C, Balakrishnan N. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes [Internet]. Probability in the Engineering and Informational Sciences. 2022 ; 36( 2): 294-319.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1017/S0269964820000637
Artigo de periodico
Bayes' estimation of the number of component processes of a superimposed process (1996)
Yoshida, Olga Satomi; Leite, Jose Galvao; Bolfarine, Heleno
Source: Probability in the Engineering and Informational Sciences. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOSHIDA, Olga Satomi e LEITE, Jose Galvao e BOLFARINE, Heleno. Bayes' estimation of the number of component processes of a superimposed process. Probability in the Engineering and Informational Sciences, v. 10, n. 3, p. 443-461, 1996Tradução . . Disponível em: https://doi.org/10.1017/S0269964800004460. Acesso em: 15 dez. 2025.
APA
Yoshida, O. S., Leite, J. G., & Bolfarine, H. (1996). Bayes' estimation of the number of component processes of a superimposed process. Probability in the Engineering and Informational Sciences, 10( 3), 443-461. doi:10.1017/S0269964800004460
NLM
Yoshida OS, Leite JG, Bolfarine H. Bayes' estimation of the number of component processes of a superimposed process [Internet]. Probability in the Engineering and Informational Sciences. 1996 ; 10( 3): 443-461.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1017/S0269964800004460
Vancouver
Yoshida OS, Leite JG, Bolfarine H. Bayes' estimation of the number of component processes of a superimposed process [Internet]. Probability in the Engineering and Informational Sciences. 1996 ; 10( 3): 443-461.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1017/S0269964800004460

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