Menu

Filtros : "Journal of Data Science" "2018" Removido: "LINGUAGEM DE PROGRAMAÇÃO" Limpar

Filtros

Refine with date range

  • 1

1 - 2 (2 records)

  • Artigo de periodico

    Properties of the Transmuted Burr XII Distribution, Regression and its Applications (2018)

    Afify, Ahmed Z; Cordeiro, Gauss M; Bourguignon, Marcelo; Ortega, Edwin M.M

    Source: Journal of Data Science. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ENTROPIA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA

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

    • ABNT

      AFIFY, Ahmed Z et al. Properties of the Transmuted Burr XII Distribution, Regression and its Applications. Journal of Data Science, v. 16, n. 3, p. 485-510, 2018Tradução . . Disponível em: https://doi.org/10.6339/JDS.201807_16(3).0003. Acesso em: 28 nov. 2025.

    • APA

      Afify, A. Z., Cordeiro, G. M., Bourguignon, M., & Ortega, E. M. M. (2018). Properties of the Transmuted Burr XII Distribution, Regression and its Applications. Journal of Data Science, 16( 3), 485-510. doi:10.6339/JDS.201807_16(3).0003

    • NLM

      Afify AZ, Cordeiro GM, Bourguignon M, Ortega EMM. Properties of the Transmuted Burr XII Distribution, Regression and its Applications [Internet]. Journal of Data Science. 2018 ; 16( 3): 485-510.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201807_16(3).0003

    • Vancouver

      Afify AZ, Cordeiro GM, Bourguignon M, Ortega EMM. Properties of the Transmuted Burr XII Distribution, Regression and its Applications [Internet]. Journal of Data Science. 2018 ; 16( 3): 485-510.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201807_16(3).0003

  • Artigo de periodico

    Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach (2018)

    Shimizu, Taciana K. O.; Louzada, Francisco ; Suzuki, Adriano Kamimura ; Ehlers, Ricardo Sandes

    Source: Journal of Data Science. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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

    • ABNT

      SHIMIZU, Taciana K. O. et al. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, v. 16, n. 2, p. 221-250, 2018Tradução . . Disponível em: https://doi.org/10.6339/JDS.201804_16(2).0002. Acesso em: 28 nov. 2025.

    • APA

      Shimizu, T. K. O., Louzada, F., Suzuki, A. K., & Ehlers, R. S. (2018). Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, 16( 2), 221-250. doi:10.6339/JDS.201804_16(2).0002

    • NLM

      Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002

    • Vancouver

      Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002
  • 1

1 - 2 (2 records)

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