Filtros : "Barriga, Gladys D. C." Limpar

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  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      CANCHO, Vicente Garibay et al. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, v. 47, n. Ju 2018, p. 2741-2759, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1342839. Acesso em: 05 jun. 2024.
    • APA

      Cancho, V. G., Yiqi, B., Fiorucci, J. A., Barriga, G. D. C., & Dey, D. K. (2018). Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, 47( Ju 2018), 2741-2759. doi:10.1080/03610926.2017.1342839
    • NLM

      Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
    • Vancouver

      Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
  • Source: Communications for Statistical Applications and Methods. Unidade: ICMC

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

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    • ABNT

      BARRIGA, Gladys D. C. et al. The Marshall-Olkin generalized gamma distribution. Communications for Statistical Applications and Methods, v. 25, n. 3, p. 245-261, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.3.245. Acesso em: 05 jun. 2024.
    • APA

      Barriga, G. D. C., Cordeiro, G. M., Dey, D. K., Cancho, V. G., Louzada, F., & Suzuki, A. K. (2018). The Marshall-Olkin generalized gamma distribution. Communications for Statistical Applications and Methods, 25( 3), 245-261. doi:10.29220/CSAM.2018.25.3.245
    • NLM

      Barriga GDC, Cordeiro GM, Dey DK, Cancho VG, Louzada F, Suzuki AK. The Marshall-Olkin generalized gamma distribution [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 3): 245-261.[citado 2024 jun. 05 ] Available from: https://doi.org/10.29220/CSAM.2018.25.3.245
    • Vancouver

      Barriga GDC, Cordeiro GM, Dey DK, Cancho VG, Louzada F, Suzuki AK. The Marshall-Olkin generalized gamma distribution [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 3): 245-261.[citado 2024 jun. 05 ] Available from: https://doi.org/10.29220/CSAM.2018.25.3.245
  • Source: Computational and Applied Mathematics. Unidade: ICMC

    Assunto: INFERÊNCIA BAYESIANA

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      LOUZADA, Francisco e CANCHO, Vicente Garibay e BARRIGA, Gladys D. C. The poisson-exponential regression model under different latent activation schemes. Computational and Applied Mathematics, v. 31, n. 3, p. 617-632, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2011.11.007. Acesso em: 05 jun. 2024.
    • APA

      Louzada, F., Cancho, V. G., & Barriga, G. D. C. (2012). The poisson-exponential regression model under different latent activation schemes. Computational and Applied Mathematics, 31( 3), 617-632. doi:10.1016/j.jspi.2011.11.007
    • NLM

      Louzada F, Cancho VG, Barriga GDC. The poisson-exponential regression model under different latent activation schemes [Internet]. Computational and Applied Mathematics. 2012 ; 31( 3): 617-632.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jspi.2011.11.007
    • Vancouver

      Louzada F, Cancho VG, Barriga GDC. The poisson-exponential regression model under different latent activation schemes [Internet]. Computational and Applied Mathematics. 2012 ; 31( 3): 617-632.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jspi.2011.11.007
  • Source: Journal of Statistical Planning and Inference. Unidade: ICMC

    Assunto: INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay e LOUZADA, Francisco e BARRIGA, Gladys D. C. The geometric Birnbaum Saunders regression model with cure rate. Journal of Statistical Planning and Inference, v. 142, n. 4, p. 993-1000, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2011.11.007. Acesso em: 05 jun. 2024.
    • APA

      Cancho, V. G., Louzada, F., & Barriga, G. D. C. (2012). The geometric Birnbaum Saunders regression model with cure rate. Journal of Statistical Planning and Inference, 142( 4), 993-1000. doi:10.1016/j.jspi.2011.11.007
    • NLM

      Cancho VG, Louzada F, Barriga GDC. The geometric Birnbaum Saunders regression model with cure rate [Internet]. Journal of Statistical Planning and Inference. 2012 ; 142( 4): 993-1000.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jspi.2011.11.007
    • Vancouver

      Cancho VG, Louzada F, Barriga GDC. The geometric Birnbaum Saunders regression model with cure rate [Internet]. Journal of Statistical Planning and Inference. 2012 ; 142( 4): 993-1000.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jspi.2011.11.007

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