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Filtros : "Methodology and Computing in Applied Probability" Removido: "2017" Limpar

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  • Artigo de periodico

    A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications (2025)

    Bueno, Vanderlei da Costa ; Balakrishnan, Narayanaswamy

    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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.1007/s11009-025-10153-x

  • Artigo de periodico

    A Bayesian cure rate model based on the power piecewise exponential distribution (2020)

    Castro, Mário de ; Gómez, Yolanda M

    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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.1007/s11009-019-09728-2

  • Artigo de periodico

    Reconstruction of gray-scale images (2001)

    Ferrari, Pablo Augusto ; Gubitoso, Marco Dimas ; Neves, Eduardo Jordão

    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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.1023%2FA%3A1013762722096
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