Filtros : "Journal of Statistical Computation and Simulation" "ORTEGA, EDWIN MOISES MARCOS" Removido: "Financiamento CNPq" Limpar

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

    Subjects: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS

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      HASHIMOTO, Elizabeth M et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 04 jul. 2025.
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      Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
    • NLM

      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
    • Vancouver

      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      HASHIMOTO, Elizabeth Mie et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 04 jul. 2025.
    • APA

      Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
    • NLM

      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
    • Vancouver

      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • 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.
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      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: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS

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      CORDEIRO, Gauss Moutinho et al. The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, v. 87, n. 5, p. 908-932, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1238088. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Alizadeh, M., Ozel, G., Hosseini, B., Ortega, E. M. M., & Altun, E. (2017). The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, 87( 5), 908-932. doi:10.1080/00949655.2016.1238088
    • NLM

      Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
    • Vancouver

      Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

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

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      CRUZ, José Nilton da e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, v. 86, n. 8, p. 1516-1538-, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1071376. Acesso em: 04 jul. 2025.
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      Cruz, J. N. da, Ortega, E. M. M., & Cordeiro, G. M. (2016). The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, 86( 8), 1516-1538-. doi:10.1080/00949655.2015.1071376
    • NLM

      Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
    • Vancouver

      Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: BIOESTATÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      RAMIRES, Thiago G et al. A bimodal flexible distribution for lifetime data. Journal of Statistical Computation and Simulation, v. 86, n. 12, p. 2450–2470, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1115047. Acesso em: 04 jul. 2025.
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      Ramires, T. G., Ortega, E. M. M., Cordeiro, G. M., & Hens, N. (2016). A bimodal flexible distribution for lifetime data. Journal of Statistical Computation and Simulation, 86( 12), 2450–2470. doi:10.1080/00949655.2015.1115047
    • NLM

      Ramires TG, Ortega EMM, Cordeiro GM, Hens N. A bimodal flexible distribution for lifetime data [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 12): 2450–2470.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2015.1115047
    • Vancouver

      Ramires TG, Ortega EMM, Cordeiro GM, Hens N. A bimodal flexible distribution for lifetime data [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 12): 2450–2470.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2015.1115047
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      CORDEIRO, Gauss M e ORTEGA, Edwin M. M e POPOVIĆ, Božidar V. The gamma-Lomax distribution. Journal of Statistical Computation and Simulation, v. 85, n. 2, p. 305-319, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.822869. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Ortega, E. M. M., & Popović, B. V. (2015). The gamma-Lomax distribution. Journal of Statistical Computation and Simulation, 85( 2), 305-319. doi:10.1080/00949655.2013.822869
    • NLM

      Cordeiro GM, Ortega EMM, Popović BV. The gamma-Lomax distribution [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 2): 305-319.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.822869
    • Vancouver

      Cordeiro GM, Ortega EMM, Popović BV. The gamma-Lomax distribution [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 2): 305-319.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.822869
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      CORDEIRO, Gauss M e ORTEGA, Edwin Moises Marcos e POPOVIĆ, Božidar V. The gamma-linear failure rate distribution: theory and applications. Journal of Statistical Computation and Simulation, v. 48, n. 11, p. 2408–2426, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.807344. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Ortega, E. M. M., & Popović, B. V. (2014). The gamma-linear failure rate distribution: theory and applications. Journal of Statistical Computation and Simulation, 48( 11), 2408–2426. doi:10.1080/00949655.2013.807344
    • NLM

      Cordeiro GM, Ortega EMM, Popović BV. The gamma-linear failure rate distribution: theory and applications [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 48( 11): 2408–2426.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.807344
    • Vancouver

      Cordeiro GM, Ortega EMM, Popović BV. The gamma-linear failure rate distribution: theory and applications [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 48( 11): 2408–2426.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.807344
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), CURA

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      CORDEIRO, Gauss M et al. General properties for the beta extended half-normal model. Journal of Statistical Computation and Simulation, v. 84, n. 4, p. 881-901, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.732075. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Silva, G. O., Pescim, R. R., & Ortega, E. M. M. (2014). General properties for the beta extended half-normal model. Journal of Statistical Computation and Simulation, 84( 4), 881-901. doi:10.1080/00949655.2012.732075
    • NLM

      Cordeiro GM, Silva GO, Pescim RR, Ortega EMM. General properties for the beta extended half-normal model [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 881-901.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2012.732075
    • Vancouver

      Cordeiro GM, Silva GO, Pescim RR, Ortega EMM. General properties for the beta extended half-normal model [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 881-901.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2012.732075
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA, VEROSSIMILHANÇA

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      NADARAJAH, Saralees e CORDEIRO, Gauss M e ORTEGA, Edwin Moises Marcos. The exponentiated G geometric family of distributions. Journal of Statistical Computation and Simulation, v. 85, n. 8, p. 1-21, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.885977. Acesso em: 04 jul. 2025.
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      Nadarajah, S., Cordeiro, G. M., & Ortega, E. M. M. (2014). The exponentiated G geometric family of distributions. Journal of Statistical Computation and Simulation, 85( 8), 1-21. doi:10.1080/00949655.2014.885977
    • NLM

      Nadarajah S, Cordeiro GM, Ortega EMM. The exponentiated G geometric family of distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 85( 8): 1-21.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2014.885977
    • Vancouver

      Nadarajah S, Cordeiro GM, Ortega EMM. The exponentiated G geometric family of distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 85( 8): 1-21.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2014.885977
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS

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      GARAY, Aldo William Medina et al. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions. Journal of Statistical Computation and Simulation, v. 84, n. 4, p. 1761–1778, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.766188. Acesso em: 04 jul. 2025.
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      Garay, A. W. M., Lachos, V. H., Labra, F. V., & Ortega, E. M. M. (2014). Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions. Journal of Statistical Computation and Simulation, 84( 4), 1761–1778. doi:10.1080/00949655.2013.766188
    • NLM

      Garay AWM, Lachos VH, Labra FV, Ortega EMM. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 1761–1778.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.766188
    • Vancouver

      Garay AWM, Lachos VH, Labra FV, Ortega EMM. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 1761–1778.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2013.766188
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      CORDEIRO, Gauss M e NADARAJAH, Saralees e ORTEGA, Edwin M. M. General results for the beta Weibull distribution. Journal of Statistical Computation and Simulation, v. 83, n. 6, p. 1082-1114, 2013Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.649756. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Nadarajah, S., & Ortega, E. M. M. (2013). General results for the beta Weibull distribution. Journal of Statistical Computation and Simulation, 83( 6), 1082-1114. doi:10.1080/00949655.2011.649756
    • NLM

      Cordeiro GM, Nadarajah S, Ortega EMM. General results for the beta Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 6): 1082-1114.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.649756
    • Vancouver

      Cordeiro GM, Nadarajah S, Ortega EMM. General results for the beta Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 6): 1082-1114.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.649756
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: MODELOS MATEMÁTICOS, ESTATÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE)

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      CORDEIRO, Gauss Moutinho et al. The beta exponentiated Weibull distribution. Journal of Statistical Computation and Simulation, v. 83, n. 1, p. 114\2013138, 2013Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.615838. Acesso em: 04 jul. 2025.
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      Cordeiro, G. M., Gomes, A. E., Silva, C. Q. da, & Ortega, E. M. M. (2013). The beta exponentiated Weibull distribution. Journal of Statistical Computation and Simulation, 83( 1), 114\2013138. doi:10.1080/00949655.2011.615838
    • NLM

      Cordeiro GM, Gomes AE, Silva CQ da, Ortega EMM. The beta exponentiated Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 1): 114\2013138.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.615838
    • Vancouver

      Cordeiro GM, Gomes AE, Silva CQ da, Ortega EMM. The beta exponentiated Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 1): 114\2013138.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.615838
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      NADARAJAH, Saralees e CORDEIRO, Gauss M e ORTEGA, Edwin M. M. General results for the Kumaraswamy-G distribution. Journal of Statistical Computation and Simulation, v. 82, n. 7, p. 951–979, 2012Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.562504. Acesso em: 04 jul. 2025.
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      Nadarajah, S., Cordeiro, G. M., & Ortega, E. M. M. (2012). General results for the Kumaraswamy-G distribution. Journal of Statistical Computation and Simulation, 82( 7), 951–979. doi:10.1080/00949655.2011.562504
    • NLM

      Nadarajah S, Cordeiro GM, Ortega EMM. General results for the Kumaraswamy-G distribution [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 82( 7): 951–979.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.562504
    • Vancouver

      Nadarajah S, Cordeiro GM, Ortega EMM. General results for the Kumaraswamy-G distribution [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 82( 7): 951–979.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2011.562504
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: MODELOS MATEMÁTICOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS LINEARES GENERALIZADOS

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      NADARAJAH, Saralees e CORDEIRO, Gauss M e ORTEGA, Edwin M. M. General results for the beta-modified Weibull distribution. Journal of Statistical Computation and Simulation, v. 81, n. 10, p. 1211–1232, 2011Tradução . . Disponível em: https://doi.org/10.1080/00949651003796343. Acesso em: 04 jul. 2025.
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      Nadarajah, S., Cordeiro, G. M., & Ortega, E. M. M. (2011). General results for the beta-modified Weibull distribution. Journal of Statistical Computation and Simulation, 81( 10), 1211–1232. doi:10.1080/00949651003796343
    • NLM

      Nadarajah S, Cordeiro GM, Ortega EMM. General results for the beta-modified Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2011 ; 81( 10): 1211–1232.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949651003796343
    • Vancouver

      Nadarajah S, Cordeiro GM, Ortega EMM. General results for the beta-modified Weibull distribution [Internet]. Journal of Statistical Computation and Simulation. 2011 ; 81( 10): 1211–1232.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949651003796343
  • Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, ESALQ

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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      CANCHO, Vicente Garibay et al. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors. Journal of Statistical Computation and Simulation, v. no 2011, n. 11, p. 1461-1481, 2011Tradução . . Disponível em: https://doi.org/10.1080/00949655.2010.491827. Acesso em: 04 jul. 2025.
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      Cancho, V. G., Ortega, E. M. M., Barriga, G. D. C., & Hashimoto, E. M. (2011). The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors. Journal of Statistical Computation and Simulation, no 2011( 11), 1461-1481. doi:10.1080/00949655.2010.491827
    • NLM

      Cancho VG, Ortega EMM, Barriga GDC, Hashimoto EM. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors [Internet]. Journal of Statistical Computation and Simulation. 2011 ; no 2011( 11): 1461-1481.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2010.491827
    • Vancouver

      Cancho VG, Ortega EMM, Barriga GDC, Hashimoto EM. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors [Internet]. Journal of Statistical Computation and Simulation. 2011 ; no 2011( 11): 1461-1481.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2010.491827
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, IME

    Assunto: DADOS CENSURADOS

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      ORTEGA, Edwin Moisés Marcos e PAULA, Gilberto Alvarenga e BOLFARINE, Heleno. Deviance residuals in generalised log-gamma regression models with censored observations. Journal of Statistical Computation and Simulation, v. 78, n. 8, p. 747-764, 2008Tradução . . Disponível em: https://doi.org/10.1080/00949650701282465. Acesso em: 04 jul. 2025.
    • APA

      Ortega, E. M. M., Paula, G. A., & Bolfarine, H. (2008). Deviance residuals in generalised log-gamma regression models with censored observations. Journal of Statistical Computation and Simulation, 78( 8), 747-764. doi:10.1080/00949650701282465
    • NLM

      Ortega EMM, Paula GA, Bolfarine H. Deviance residuals in generalised log-gamma regression models with censored observations [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 8): 747-764.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949650701282465
    • Vancouver

      Ortega EMM, Paula GA, Bolfarine H. Deviance residuals in generalised log-gamma regression models with censored observations [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 8): 747-764.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949650701282465

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