Fonte: Probability in the Engineering and Informational Sciences. Unidade: IME
Assuntos: SUFICIÊNCIA, TEORIA DA INFORMAÇÃO, ENTROPIA, PROCESSOS DE POISSON
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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: 14 nov. 2024.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/S0269964820000637NLM
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 2024 nov. 14 ] Available from: https://doi.org/10.1017/S0269964820000637Vancouver
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 2024 nov. 14 ] Available from: https://doi.org/10.1017/S0269964820000637