Filtros : "Methodology and Computing in Applied Probability" Limpar

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  • Source: Methodology and Computing in Applied Probability. Unidade: IME

    Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, MARTINGAL

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    • ABNT

      BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, v. 27, n. artigo 27, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11009-025-10153-x. Acesso em: 11 dez. 2025.
    • APA

      Bueno, V. da C., & Balakrishnan, N. (2025). A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, 27( artigo 27), 1-25. doi:10.1007/s11009-025-10153-x
    • NLM

      Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-025-10153-x
    • Vancouver

      Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-025-10153-x
  • Source: Methodology and Computing in Applied Probability. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, BIOESTATÍSTICA, INFERÊNCIA NÃO PARAMÉTRICA, DISTRIBUIÇÃO BINOMIAL, MÉTODOS MCMC

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    • ABNT

      CASTRO, Mário de e GÓMEZ, Yolanda M. A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, v. 22, n. 2, p. 677-692, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11009-019-09728-2. Acesso em: 11 dez. 2025.
    • APA

      Castro, M. de, & Gómez, Y. M. (2020). A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, 22( 2), 677-692. doi:10.1007/s11009-019-09728-2
    • NLM

      Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
    • Vancouver

      Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
  • Source: Methodology and Computing in Applied Probability. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS, REGRESSÃO LINEAR, ESTATÍSTICA

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    • ABNT

      MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno e GÓMEZ, Héctor W. The log-linear Birnbaum-Saunders power model. Methodology and Computing in Applied Probability, v. 19, n. 3, p. 913-933, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11009-016-9526-3. Acesso em: 11 dez. 2025.
    • APA

      Martínez-Flórez, G., Bolfarine, H., & Gómez, H. W. (2017). The log-linear Birnbaum-Saunders power model. Methodology and Computing in Applied Probability, 19( 3), 913-933. doi:10.1007/s11009-016-9526-3
    • NLM

      Martínez-Flórez G, Bolfarine H, Gómez HW. The log-linear Birnbaum-Saunders power model [Internet]. Methodology and Computing in Applied Probability. 2017 ; 19( 3): 913-933.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-016-9526-3
    • Vancouver

      Martínez-Flórez G, Bolfarine H, Gómez HW. The log-linear Birnbaum-Saunders power model [Internet]. Methodology and Computing in Applied Probability. 2017 ; 19( 3): 913-933.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1007/s11009-016-9526-3
  • Source: Methodology and Computing in Applied Probability. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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    • ABNT

      FERRARI, Pablo Augusto e GUBITOSO, Marco Dimas e NEVES, Eduardo Jordão. Reconstruction of gray-scale images. Methodology and Computing in Applied Probability, v. 3, n. 3, p. 255-270, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1013762722096. Acesso em: 11 dez. 2025.
    • APA

      Ferrari, P. A., Gubitoso, M. D., & Neves, E. J. (2001). Reconstruction of gray-scale images. Methodology and Computing in Applied Probability, 3( 3), 255-270. doi:10.1023%2FA%3A1013762722096
    • NLM

      Ferrari PA, Gubitoso MD, Neves EJ. Reconstruction of gray-scale images [Internet]. Methodology and Computing in Applied Probability. 2001 ; 3( 3): 255-270.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1023%2FA%3A1013762722096
    • Vancouver

      Ferrari PA, Gubitoso MD, Neves EJ. Reconstruction of gray-scale images [Internet]. Methodology and Computing in Applied Probability. 2001 ; 3( 3): 255-270.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1023%2FA%3A1013762722096

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