Filtros : "MARKETING" "IME-MAE" Limpar


  • Source: Computational Statistics & Data Analysis. Unidade: IME

    Subjects: REGRESSÃO LOGÍSTICA, PASSEIOS ALEATÓRIOS, ESTATÍSTICA APLICADA, MARKETING

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    • ABNT

      TAMURA, Karin Ayumi e GIAMPAOLI, Viviana. New prediction method for the mixed logistic model applied in a marketing problem. Computational Statistics & Data Analysis, v. 66, p. 202-216, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2013.04.006. Acesso em: 15 nov. 2024.
    • APA

      Tamura, K. A., & Giampaoli, V. (2013). New prediction method for the mixed logistic model applied in a marketing problem. Computational Statistics & Data Analysis, 66, 202-216. doi:10.1016/j.csda.2013.04.006
    • NLM

      Tamura KA, Giampaoli V. New prediction method for the mixed logistic model applied in a marketing problem [Internet]. Computational Statistics & Data Analysis. 2013 ; 66 202-216.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.csda.2013.04.006
    • Vancouver

      Tamura KA, Giampaoli V. New prediction method for the mixed logistic model applied in a marketing problem [Internet]. Computational Statistics & Data Analysis. 2013 ; 66 202-216.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.csda.2013.04.006

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