Menu

Filtros : "Journal of Statistical Computation and Simulation" "REGRESSÃO LINEAR" Removido: "2016" Limpar

Filtros

Refine with date range

  • 1

1 - 7 (7 records)

  • Artigo de periodico

    Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)

    Hashimoto, Elizabeth M; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Klauberg, Carine

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

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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 28 nov. 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 nov. 28 ] 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 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2018.1534116

  • Artigo de periodico

    The Burr XII System of densities: properties, regression model and applications (2018)

    Cordeiro, Gauss M; Yousof, Haitham M; Ramires, Thiago G; Ortega, Edwin Moises Marcos

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

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 28 nov. 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 nov. 28 ] 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 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2017.1392524

  • Artigo de periodico

    Bayesian analysis for zero-or-one inflated proportion data using quantile regression (2015)

    Santos, Bruno; Bolfarine, Heleno

    Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: REGRESSÃO LINEAR, INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SANTOS, Bruno e BOLFARINE, Heleno. Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation, v. 85, n. 17, p. 3579-3593, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.986733. Acesso em: 28 nov. 2025.

    • APA

      Santos, B., & Bolfarine, H. (2015). Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation, 85( 17), 3579-3593. doi:10.1080/00949655.2014.986733

    • NLM

      Santos B, Bolfarine H. Bayesian analysis for zero-or-one inflated proportion data using quantile regression [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 17): 3579-3593.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2014.986733

    • Vancouver

      Santos B, Bolfarine H. Bayesian analysis for zero-or-one inflated proportion data using quantile regression [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 17): 3579-3593.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2014.986733

  • Artigo de periodico

    Latent cure rate model under repair system and threshold effect (2015)

    Rodrigues, Josemar ; Balakrishnan, Narayanaswamy; Cordeiro, Gauss M; Castro, Mário de ; Cancho, Vicente Garibay

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

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      RODRIGUES, Josemar et al. Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, v. 85, n. 14, p. 2860-2873, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.943223. Acesso em: 28 nov. 2025.

    • APA

      Rodrigues, J., Balakrishnan, N., Cordeiro, G. M., Castro, M. de, & Cancho, V. G. (2015). Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, 85( 14), 2860-2873. doi:10.1080/00949655.2014.943223

    • NLM

      Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2014.943223

    • Vancouver

      Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2014.943223

  • Artigo de periodico

    A new lifetime model: the Kumaraswamy generalized Rayleigh distribution (2012)

    Gomes, Antonio E; da-Silva, Cibele Q; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos

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

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      GOMES, Antonio E et al. A new lifetime model: the Kumaraswamy generalized Rayleigh distribution. Journal of Statistical Computation and Simulation, v. 84, n. 2, p. 290-309, 2012Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.706813. Acesso em: 28 nov. 2025.

    • APA

      Gomes, A. E., da-Silva, C. Q., Cordeiro, G. M., & Ortega, E. M. M. (2012). A new lifetime model: the Kumaraswamy generalized Rayleigh distribution. Journal of Statistical Computation and Simulation, 84( 2), 290-309. doi:10.1080/00949655.2012.706813

    • NLM

      Gomes AE, da-Silva CQ, Cordeiro GM, Ortega EMM. A new lifetime model: the Kumaraswamy generalized Rayleigh distribution [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 84( 2): 290-309.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2012.706813

    • Vancouver

      Gomes AE, da-Silva CQ, Cordeiro GM, Ortega EMM. A new lifetime model: the Kumaraswamy generalized Rayleigh distribution [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 84( 2): 290-309.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2012.706813

  • Artigo de periodico

    The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors (2011)

    Cancho, Vicente Garibay ; Ortega, Edwin Moisés Marcos; Barriga, Gladys Dorotea Cacsire; Hashimoto, Elizabeth Mie

    Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, ESALQ

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      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: 28 nov. 2025.

    • APA

      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 nov. 28 ] 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 nov. 28 ] Available from: https://doi.org/10.1080/00949655.2010.491827

  • Artigo de periodico

    Diagnostic techniques in generalized estimating equations (2007)

    Venezuela, Maria Kelly ; Botter, Denise Aparecida ; Sandoval, Monica Carneiro

    Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: MÉTODOS DE DIAGNÓSTICOS, REGRESSÃO LINEAR, ANÁLISE MULTIVARIADA, MODELOS LINEARES GENERALIZADOS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      VENEZUELA, Maria Kelly e BOTTER, Denise Aparecida e SANDOVAL, Monica Carneiro. Diagnostic techniques in generalized estimating equations. Journal of Statistical Computation and Simulation, v. 77, n. 10, p. 879-888, 2007Tradução . . Disponível em: https://doi.org/10.1080/10629360600780488. Acesso em: 28 nov. 2025.

    • APA

      Venezuela, M. K., Botter, D. A., & Sandoval, M. C. (2007). Diagnostic techniques in generalized estimating equations. Journal of Statistical Computation and Simulation, 77( 10), 879-888. doi:10.1080/10629360600780488

    • NLM

      Venezuela MK, Botter DA, Sandoval MC. Diagnostic techniques in generalized estimating equations [Internet]. Journal of Statistical Computation and Simulation. 2007 ; 77( 10): 879-888.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/10629360600780488

    • Vancouver

      Venezuela MK, Botter DA, Sandoval MC. Diagnostic techniques in generalized estimating equations [Internet]. Journal of Statistical Computation and Simulation. 2007 ; 77( 10): 879-888.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/10629360600780488
  • 1

1 - 7 (7 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025