Filtros : "Communications in Statistics - Simulation and Computation" "2017" Removido: "ESTATÍSTICA APLICADA" Limpar

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  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

    Acesso à fonteDOIHow to cite
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    • ABNT

      OZEL, Gamze et al. The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, v. 46, n. 8, p. 6513-6537, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1206931. Acesso em: 19 nov. 2025.
    • APA

      Ozel, G., Alizadeh, M., Cakmakyapan, S., Hamedani, G. G., Ortega, E. M. M., & Cancho, V. G. (2017). The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, 46( 8), 6513-6537. doi:10.1080/03610918.2016.1206931
    • NLM

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1206931
    • Vancouver

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1206931
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: ROBUSTEZ, MÉTODO DE MONTE CARLO, VALORES ATÍPICOS, ANÁLISE MULTIVARIADA

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    • ABNT

      CIRILLO, Marcelo Ângelo e BARROSO, Lucia Pereira. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, v. 46, n. 3, p. 1895-1905, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2015.1018998. Acesso em: 19 nov. 2025.
    • APA

      Cirillo, M. Â., & Barroso, L. P. (2017). Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, 46( 3), 1895-1905. doi:10.1080/03610918.2015.1018998
    • NLM

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
    • Vancouver

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      ZEVALLOS, Mauricio e GASCO, Loretta e EHLERS, Ricardo Sandes. Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 7942-7956, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1255972. Acesso em: 19 nov. 2025.
    • APA

      Zevallos, M., Gasco, L., & Ehlers, R. S. (2017). Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, 46( 10), 7942-7956. doi:10.1080/03610918.2016.1255972
    • NLM

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
    • Vancouver

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

    Acesso à fonteDOIHow to cite
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    • ABNT

      DEY, Sanku et al. Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 8118-8139, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1267752. Acesso em: 19 nov. 2025.
    • APA

      Dey, S., Kumar, D., Ramos, P. L., & Louzada, F. (2017). Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, 46( 10), 8118-8139. doi:10.1080/03610918.2016.1267752
    • NLM

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1267752
    • Vancouver

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/03610918.2016.1267752

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