Filtros : "Journal of Statistical Computation and Simulation" "2018" Removido: "Indexado no: Web of Science" Limpar

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  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      LOUZADA, Francisco e RAMOS, Pedro Luiz. Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, v. 88, n. Ja 2018, p. 1134-1146, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1422503. Acesso em: 04 jul. 2025.
    • APA

      Louzada, F., & Ramos, P. L. (2018). Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, 88( Ja 2018), 1134-1146. doi:10.1080/00949655.2017.1422503
    • NLM

      Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
    • Vancouver

      Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Assunto: GRÁFICOS

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    • ABNT

      GARZA VENEGAS, Jorge Arturo et al. Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, v. 88, n. 13, p. 2612-2630, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1479752. Acesso em: 04 jul. 2025.
    • APA

      Garza Venegas, J. A., Tercero Gómez, V. G., Ho, L. L., Castagliola, P., & Celano, G. (2018). Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, 88( 13), 2612-2630. doi:10.1080/00949655.2018.1479752
    • NLM

      Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
    • Vancouver

      Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      GALLARDO, Diego I. e GÓMEZ, Yolanda M. e CASTRO, Mário de. A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2137-2149, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1451850. Acesso em: 04 jul. 2025.
    • APA

      Gallardo, D. I., Gómez, Y. M., & Castro, M. de. (2018). A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, 88( 11), 2137-2149. doi:10.1080/00949655.2018.1451850
    • NLM

      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
    • Vancouver

      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      TOMAYA, Lorena Cáceres e CASTRO, Mário de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2185-2200, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1452925. Acesso em: 04 jul. 2025.
    • APA

      Tomaya, L. C., & Castro, M. de. (2018). A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, 88( 11), 2185-2200. doi:10.1080/00949655.2018.1452925
    • NLM

      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
    • Vancouver

      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR

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      CORDEIRO, Gauss M et al. The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, v. 88, n. 3, p. 432-456, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1392524. Acesso em: 04 jul. 2025.
    • APA

      Cordeiro, G. M., Yousof, H. M., Ramires, T. G., & Ortega, E. M. M. (2018). The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, 88( 3), 432-456. doi:10.1080/00949655.2017.1392524
    • NLM

      Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
    • Vancouver

      Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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      VENEGAS, Osvaldo et al. Bimodality based on the generalized skew-normal distribution. Journal of Statistical Computation and Simulation, v. 88, n. 1, p. 156-181, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1381698. Acesso em: 04 jul. 2025.
    • APA

      Venegas, O., Salinas, H. S., Gallardo, D. I., Bolfarine, H., & Gómez, H. W. (2018). Bimodality based on the generalized skew-normal distribution. Journal of Statistical Computation and Simulation, 88( 1), 156-181. doi:10.1080/00949655.2017.1381698
    • NLM

      Venegas O, Salinas HS, Gallardo DI, Bolfarine H, Gómez HW. Bimodality based on the generalized skew-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 1): 156-181.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1381698
    • Vancouver

      Venegas O, Salinas HS, Gallardo DI, Bolfarine H, Gómez HW. Bimodality based on the generalized skew-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 1): 156-181.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1381698

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