Filtros : "Journal of Data Science" "Estados Unidos" Removido: "LOUZADA NETO, FRANCISCO" Limpar

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  • Source: Journal of Data Science. Unidade: ICMC

    Subjects: MÉTODOS MCMC, ANÁLISE DE SÉRIES TEMPORAIS, COVID-19

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      ANDRADE, Marinho Gomes de et al. Time series regression models for COVID-19 deaths. Journal of Data Science, v. 19, n. 2, p. 269-292, 2021Tradução . . Disponível em: https://doi.org/10.6339/21-JDS991. Acesso em: 28 nov. 2025.
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      Andrade, M. G. de, Conceição, K. S., Achcar, J. A., & Ravishanker, N. (2021). Time series regression models for COVID-19 deaths. Journal of Data Science, 19( 2), 269-292. doi:10.6339/21-JDS991
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      Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/21-JDS991
    • Vancouver

      Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/21-JDS991
  • Source: Journal of Data Science. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, DADOS CENSURADOS, MÉTODOS DE DIAGNÓSTICOS

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      ACHCAR, Jorge Alberto e CUEVAS, Jose Rafael Tovar e MOALA, Fernando A. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, v. 17, n. 3, p. 445-480, 2019Tradução . . Disponível em: https://doi.org/10.6339/JDS.201907_17(3).0001. Acesso em: 28 nov. 2025.
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      Achcar, J. A., Cuevas, J. R. T., & Moala, F. A. (2019). Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, 17( 3), 445-480. doi:10.6339/JDS.201907_17(3).0001
    • NLM

      Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
    • Vancouver

      Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
  • Source: Journal of Data Science. Unidade: ESALQ

    Subjects: ESPORTES POR EQUIPE, FUTEBOL, MODELOS MATEMÁTICOS

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      CERQUEIRA, Pedro H. R et al. Investigating the underlying causal network on European football teams. Journal of Data Science, v. 15, p. 293-312, 2017Tradução . . Disponível em: http://www.jds-online.com/file_download/606/2017_4-7.pdf. Acesso em: 28 nov. 2025.
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      Cerqueira, P. H. R., Nakamura, L. R., Pescim, R. R., & Leandro, R. A. (2017). Investigating the underlying causal network on European football teams. Journal of Data Science, 15, 293-312. Recuperado de http://www.jds-online.com/file_download/606/2017_4-7.pdf
    • NLM

      Cerqueira PHR, Nakamura LR, Pescim RR, Leandro RA. Investigating the underlying causal network on European football teams [Internet]. Journal of Data Science. 2017 ; 15 293-312.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/606/2017_4-7.pdf
    • Vancouver

      Cerqueira PHR, Nakamura LR, Pescim RR, Leandro RA. Investigating the underlying causal network on European football teams [Internet]. Journal of Data Science. 2017 ; 15 293-312.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/606/2017_4-7.pdf
  • Source: Journal of Data Science. Unidade: FMRP

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

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      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: 28 nov. 2025.
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      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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-14-number-4-october-2016
  • Source: Journal of Data Science. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA

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      CORDEIRO, Gauss Moutinho et al. The Kummer Beta Generalized Gamma Distribution. Journal of Data Science, v. 12, n. 4, p. 661-698, 2014Tradução . . Disponível em: https://jds-online.org/journal/JDS/issue/30. Acesso em: 28 nov. 2025.
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      Cordeiro, G. M., Pescim, R. R., Demétrio, C. G. B., & Ortega, E. M. M. (2014). The Kummer Beta Generalized Gamma Distribution. Journal of Data Science, 12( 4), 661-698. Recuperado de https://jds-online.org/journal/JDS/issue/30
    • NLM

      Cordeiro GM, Pescim RR, Demétrio CGB, Ortega EMM. The Kummer Beta Generalized Gamma Distribution [Internet]. Journal of Data Science. 2014 ; 12( 4): 661-698.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/issue/30
    • Vancouver

      Cordeiro GM, Pescim RR, Demétrio CGB, Ortega EMM. The Kummer Beta Generalized Gamma Distribution [Internet]. Journal of Data Science. 2014 ; 12( 4): 661-698.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/issue/30
  • Source: Journal of Data Science. Unidade: IME

    Assunto: LINGUAGEM DE PROGRAMAÇÃO

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      GIAMPAOLI, Viviana e MANDEL, Arnaldo. Language rythm model selection by weighted kappa. Journal of Data Science, v. 8, n. 1, p. 91-99, 2010Tradução . . Disponível em: http://www.jds-online.com/v8-1. Acesso em: 28 nov. 2025.
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      Giampaoli, V., & Mandel, A. (2010). Language rythm model selection by weighted kappa. Journal of Data Science, 8( 1), 91-99. Recuperado de http://www.jds-online.com/v8-1
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      Giampaoli V, Mandel A. Language rythm model selection by weighted kappa [Internet]. Journal of Data Science. 2010 ; 8( 1): 91-99.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/v8-1
    • Vancouver

      Giampaoli V, Mandel A. Language rythm model selection by weighted kappa [Internet]. Journal of Data Science. 2010 ; 8( 1): 91-99.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/v8-1
  • Source: Journal of Data Science. Unidades: ICMC, ESALQ, IME

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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      CANCHO, Vicente Garibay e ORTEGA, Edwin Moisés Marcos e BOLFARINE, Heleno. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, v. 7, n. 4, p. 433-458, 2009Tradução . . Disponível em: https://jds-online.org/journal/JDS/article/973/info. Acesso em: 28 nov. 2025.
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      Cancho, V. G., Ortega, E. M. M., & Bolfarine, H. (2009). The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, 7( 4), 433-458. Recuperado de https://jds-online.org/journal/JDS/article/973/info
    • NLM

      Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info
    • Vancouver

      Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info

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