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Filtros : "Holanda" "Achcar, Jorge Alberto" Removidos: "Camargo, Ilana Lopes Baratella da Cunha" "Schellekens, Judith" "Siddiqi, F" Limpar

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  • Artigo de periodico

    Bayesian inference for the segmented Weibull distribution (2019)

    Coelho-Barros, Emílio Augusto; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi ; Davarzani, Nasser; Grabsch, Heike I.

    Source: Revista Colombiana de Estadística. Unidade: FMRP

    Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE)

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

    • ABNT

      COELHO-BARROS, Emílio Augusto et al. Bayesian inference for the segmented Weibull distribution. Revista Colombiana de Estadística, v. 42, n. 2, p. 225-243, 2019Tradução . . Disponível em: https://doi.org/10.15446/rce.v42n2.76815. Acesso em: 29 jun. 2024.

    • APA

      Coelho-Barros, E. A., Achcar, J. A., Martinez, E. Z., Davarzani, N., & Grabsch, H. I. (2019). Bayesian inference for the segmented Weibull distribution. Revista Colombiana de Estadística, 42( 2), 225-243. doi:10.15446/rce.v42n2.76815

    • NLM

      Coelho-Barros EA, Achcar JA, Martinez EZ, Davarzani N, Grabsch HI. Bayesian inference for the segmented Weibull distribution [Internet]. Revista Colombiana de Estadística. 2019 ; 42( 2): 225-243.[citado 2024 jun. 29 ] Available from: https://doi.org/10.15446/rce.v42n2.76815

    • Vancouver

      Coelho-Barros EA, Achcar JA, Martinez EZ, Davarzani N, Grabsch HI. Bayesian inference for the segmented Weibull distribution [Internet]. Revista Colombiana de Estadística. 2019 ; 42( 2): 225-243.[citado 2024 jun. 29 ] Available from: https://doi.org/10.15446/rce.v42n2.76815

  • Artigo de periodico

    Determination of optimum medical cut points for continuous covariates in lifetime regression models (2018)

    Icuma, Tatiana Reis ; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi ; Davarzani, Nasser

    Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO

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

    • ABNT

      ICUMA, Tatiana Reis et al. Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, v. 13, n. 2, p. 141-159, 2018Tradução . . Disponível em: https://doi.org/10.3233/MAS-180426. Acesso em: 29 jun. 2024.

    • APA

      Icuma, T. R., Achcar, J. A., Martinez, E. Z., & Davarzani, N. (2018). Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, 13( 2), 141-159. doi:10.3233/MAS-180426

    • NLM

      Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 jun. 29 ] Available from: https://doi.org/10.3233/MAS-180426

    • Vancouver

      Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 jun. 29 ] Available from: https://doi.org/10.3233/MAS-180426

  • Artigo de periodico

    Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer (2016)

    Icuma, Tatiana Reis; Buzatto, Isabela Panzeri Carlotti; Tiezzi, Daniel Guimarães; Achcar, Jorge Alberto ; Davarzani, Nasser

    Source: Journal of Data Science. Unidade: FMRP

    Subjects: NEOPLASIAS MAMÁRIAS, INFERÊNCIA BAYESIANA, SOBREVIVÊNCIA LIVRE DE DOENÇA

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

    • ABNT

      ICUMA, Tatiana Reis et al. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer. Journal of Data Science, v. 14, n. 4, p. 657-680, 2016Tradução . . Disponível em: http://www.jds-online.com/volume-14-number-4-october-2016. Acesso em: 29 jun. 2024.

    • APA

      Icuma, T. R., Buzatto, I. P. C., Tiezzi, D. G., Achcar, J. A., & Davarzani, N. (2016). Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer. Journal of Data Science, 14( 4), 657-680. Recuperado de http://www.jds-online.com/volume-14-number-4-october-2016

    • NLM

      Icuma TR, Buzatto IPC, Tiezzi DG, Achcar JA, Davarzani N. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer [Internet]. Journal of Data Science. 2016 ; 14( 4): 657-680.[citado 2024 jun. 29 ] Available from: http://www.jds-online.com/volume-14-number-4-october-2016

    • Vancouver

      Icuma TR, Buzatto IPC, Tiezzi DG, Achcar JA, Davarzani N. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer [Internet]. Journal of Data Science. 2016 ; 14( 4): 657-680.[citado 2024 jun. 29 ] Available from: http://www.jds-online.com/volume-14-number-4-october-2016
  • 1

1 - 3 (3 records)

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