Filtros : "DISTRIBUIÇÃO LOGÍSTICA" "Cordeiro, Gauss M" Limpar

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  • Source: Communications in Statistics. Theory and Methods. Unidade: ESALQ

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA

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    • ABNT

      VIGAS, Valdemiro Piedade et al. A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, p. 1-6, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610926.2024.2371487. Acesso em: 11 nov. 2025.
    • APA

      Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Silva, G. L., & Santos Junior, P. C. dos. (2024). A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, 1-6. doi:10.1080/03610926.2024.2371487
    • NLM

      Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
    • Vancouver

      Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
  • Source: Journal of Statistical Theory and Applications. Unidade: ESALQ

    Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS

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    • ABNT

      HASHIMOTO, Elizabeth M et al. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, v. 16, n. 4, p. 547-564, 2017Tradução . . Disponível em: https://www.atlantis-press.com/journals/jsta/25887941. Acesso em: 11 nov. 2025.
    • APA

      Hashimoto, E. M., Edwin Moises Marcos Ortega,, Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, 16( 4), 547-564. Recuperado de https://www.atlantis-press.com/journals/jsta/25887941
    • NLM

      Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2025 nov. 11 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
    • Vancouver

      Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2025 nov. 11 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
  • Source: Journal of Statistical Theory and Applications. Unidade: ESALQ

    Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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    • ABNT

      HASHIMOTO, Elizabeth M et al. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, v. 16, n. 4, p. 547–564, 2017Tradução . . Disponível em: https://doi.org/10.2991/jsta.2017.16.4.9. Acesso em: 11 nov. 2025.
    • APA

      Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, 16( 4), 547–564. doi:10.2991/jsta.2017.16.4.9
    • NLM

      Hashimoto EM, Ortega EMM, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547–564.[citado 2025 nov. 11 ] Available from: https://doi.org/10.2991/jsta.2017.16.4.9
    • Vancouver

      Hashimoto EM, Ortega EMM, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547–564.[citado 2025 nov. 11 ] Available from: https://doi.org/10.2991/jsta.2017.16.4.9
  • Source: Communications in Statistics - Theory and Methods. Unidade: ESALQ

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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    • ABNT

      MENDOZA, Natalie V. R e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. The exponentiated-log-logistic geometric distribution: dual activation. Communications in Statistics - Theory and Methods, v. 45, n. 13, p. 3838-3859, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610926.2014.909937. Acesso em: 11 nov. 2025.
    • APA

      Mendoza, N. V. R., Ortega, E. M. M., & Cordeiro, G. M. (2016). The exponentiated-log-logistic geometric distribution: dual activation. Communications in Statistics - Theory and Methods, 45( 13), 3838-3859. doi:10.1080/03610926.2014.909937
    • NLM

      Mendoza NVR, Ortega EMM, Cordeiro GM. The exponentiated-log-logistic geometric distribution: dual activation [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 13): 3838-3859.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610926.2014.909937
    • Vancouver

      Mendoza NVR, Ortega EMM, Cordeiro GM. The exponentiated-log-logistic geometric distribution: dual activation [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 13): 3838-3859.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610926.2014.909937
  • Source: Journal of Probability and Statistics. Unidade: ESALQ

    Subjects: DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS

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    • ABNT

      CORDEIRO, Gauss M e ALIZADEH, Morad e ORTEGA, Edwin Moises Marcos. The exponentiated half-logistic family of distributions: properties and applications. Journal of Probability and Statistics, p. 1-21, 2014Tradução . . Disponível em: https://doi.org/10.1155/2014/864396. Acesso em: 11 nov. 2025.
    • APA

      Cordeiro, G. M., Alizadeh, M., & Ortega, E. M. M. (2014). The exponentiated half-logistic family of distributions: properties and applications. Journal of Probability and Statistics, 1-21. doi:10.1155/2014/864396
    • NLM

      Cordeiro GM, Alizadeh M, Ortega EMM. The exponentiated half-logistic family of distributions: properties and applications [Internet]. Journal of Probability and Statistics. 2014 ; 1-21.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1155/2014/864396
    • Vancouver

      Cordeiro GM, Alizadeh M, Ortega EMM. The exponentiated half-logistic family of distributions: properties and applications [Internet]. Journal of Probability and Statistics. 2014 ; 1-21.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1155/2014/864396
  • Source: Journal of Statistical Theory and Applications. Unidade: ESALQ

    Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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    • ABNT

      SANTANA, Tiago Viana Flor de et al. The Kumaraswamy-Log-logistic distribution. Journal of Statistical Theory and Applications, v. 11, n. 3, p. 265-291, 2012Tradução . . Disponível em: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf. Acesso em: 11 nov. 2025.
    • APA

      Santana, T. V. F. de, Ortega, E. M. M., Cordeiro, G. M., & Silva, G. O. (2012). The Kumaraswamy-Log-logistic distribution. Journal of Statistical Theory and Applications, 11( 3), 265-291. Recuperado de http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf
    • NLM

      Santana TVF de, Ortega EMM, Cordeiro GM, Silva GO. The Kumaraswamy-Log-logistic distribution [Internet]. Journal of Statistical Theory and Applications. 2012 ; 11( 3): 265-291.[citado 2025 nov. 11 ] Available from: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf
    • Vancouver

      Santana TVF de, Ortega EMM, Cordeiro GM, Silva GO. The Kumaraswamy-Log-logistic distribution [Internet]. Journal of Statistical Theory and Applications. 2012 ; 11( 3): 265-291.[citado 2025 nov. 11 ] Available from: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf

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