Filtros : "Bazán Guzmán, Jorge Luis" "Holanda" Removido: "Reino Unido" Limpar

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  • Source: Test. Unidade: ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, VEROSSIMILHANÇA, MODELOS (ANÁLISE MULTIVARIADA), DISTRIBUIÇÃO BINOMIAL, INFERÊNCIA PARAMÉTRICA

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    • ABNT

      LEMONTE, Artur J. e BAZÁN GUZMÁN, Jorge Luis. New links for binary regression: an application to coca cultivation in Peru. Test, v. 27, n. 3, p. 597-617, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11749-017-0563-1. Acesso em: 09 nov. 2024.
    • APA

      Lemonte, A. J., & Bazán Guzmán, J. L. (2018). New links for binary regression: an application to coca cultivation in Peru. Test, 27( 3), 597-617. doi:10.1007/s11749-017-0563-1
    • NLM

      Lemonte AJ, Bazán Guzmán JL. New links for binary regression: an application to coca cultivation in Peru [Internet]. Test. 2018 ; 27( 3): 597-617.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/s11749-017-0563-1
    • Vancouver

      Lemonte AJ, Bazán Guzmán JL. New links for binary regression: an application to coca cultivation in Peru [Internet]. Test. 2018 ; 27( 3): 597-617.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/s11749-017-0563-1
  • Source: Proceedings. Conference titles: International Workshop on Statistical Modelling - IWSM. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA PARAMÉTRICA

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      LEMONTE, Artur José e BAZÁN GUZMÁN, Jorge Luis. New links for binary regressions: an application to the coca cultivation in Peru. 2017, Anais.. Amsterdam: SMS, 2017. p. 59-62. Disponível em: https://iwsm2017.webhosting.rug.nl/. Acesso em: 09 nov. 2024.
    • APA

      Lemonte, A. J., & Bazán Guzmán, J. L. (2017). New links for binary regressions: an application to the coca cultivation in Peru. In Proceedings (Vol. 2, p. 59-62). Amsterdam: SMS. Recuperado de https://iwsm2017.webhosting.rug.nl/
    • NLM

      Lemonte AJ, Bazán Guzmán JL. New links for binary regressions: an application to the coca cultivation in Peru [Internet]. Proceedings. 2017 ; 2 59-62.[citado 2024 nov. 09 ] Available from: https://iwsm2017.webhosting.rug.nl/
    • Vancouver

      Lemonte AJ, Bazán Guzmán JL. New links for binary regressions: an application to the coca cultivation in Peru [Internet]. Proceedings. 2017 ; 2 59-62.[citado 2024 nov. 09 ] Available from: https://iwsm2017.webhosting.rug.nl/
  • Source: Statistics and Probability Letters. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      RODRIGUES, Josemar et al. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, v. 119, p. 281-288, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.08.020. Acesso em: 09 nov. 2024.
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      Rodrigues, J., Bazán Guzmán, J. L., Suzuki, A. K., & Balakrishnan, N. (2016). The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, 119, 281-288. doi:10.1016/j.spl.2016.08.020
    • NLM

      Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
    • Vancouver

      Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
  • Source: Statistics and Probability Letters. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      BORGES, Patrick et al. A COM–poisson type generalization of the binomial distribution and its properties and applications. Statistics and Probability Letters, v. 87, p. 158-166, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2014.01.019. Acesso em: 09 nov. 2024.
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      Borges, P., Rodrigues, J., Balakrishnan, N., & Bazán Guzmán, J. L. (2014). A COM–poisson type generalization of the binomial distribution and its properties and applications. Statistics and Probability Letters, 87, 158-166. doi:10.1016/j.spl.2014.01.019
    • NLM

      Borges P, Rodrigues J, Balakrishnan N, Bazán Guzmán JL. A COM–poisson type generalization of the binomial distribution and its properties and applications [Internet]. Statistics and Probability Letters. 2014 ; 87 158-166.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.spl.2014.01.019
    • Vancouver

      Borges P, Rodrigues J, Balakrishnan N, Bazán Guzmán JL. A COM–poisson type generalization of the binomial distribution and its properties and applications [Internet]. Statistics and Probability Letters. 2014 ; 87 158-166.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.spl.2014.01.019
  • Source: Computational Statistics and Data Analysis. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      COSTA, D. R et al. Estimation methods for multivariate Tobit confirmatory factor analysis. Computational Statistics and Data Analysis, v. 79, p. 248-260, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2014.05.021. Acesso em: 09 nov. 2024.
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      Costa, D. R., Lachos, V. H., Bazán Guzmán, J. L., & Azevedo, C. L. N. (2014). Estimation methods for multivariate Tobit confirmatory factor analysis. Computational Statistics and Data Analysis, 79, 248-260. doi:10.1016/j.csda.2014.05.021
    • NLM

      Costa DR, Lachos VH, Bazán Guzmán JL, Azevedo CLN. Estimation methods for multivariate Tobit confirmatory factor analysis [Internet]. Computational Statistics and Data Analysis. 2014 ; 79 248-260.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.csda.2014.05.021
    • Vancouver

      Costa DR, Lachos VH, Bazán Guzmán JL, Azevedo CLN. Estimation methods for multivariate Tobit confirmatory factor analysis [Internet]. Computational Statistics and Data Analysis. 2014 ; 79 248-260.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.csda.2014.05.021

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