Filtros : "Model Assisted Statistics and Applications" Removido: "ESALQ" Limpar

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  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: INSUFICIÊNCIA CARDÍACA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA

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    • ABNT

      OLIVEIRA, Ricardo Puziol de et al. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients. Model Assisted Statistics and Applications, v. 18, p. 45-55, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221341. Acesso em: 06 nov. 2025.
    • APA

      Oliveira, R. P. de, Peres, M. V. de O., Bertoli, W., & Achcar, J. A. (2023). A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients. Model Assisted Statistics and Applications, 18, 45-55. doi:10.3233/MAS-221341
    • NLM

      Oliveira RP de, Peres MV de O, Bertoli W, Achcar JA. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 45-55.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-221341
    • Vancouver

      Oliveira RP de, Peres MV de O, Bertoli W, Achcar JA. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 45-55.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-221341
  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC

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    • ABNT

      ACHCAR, Jorge Alberto e BARILI, Emerson e MARTINEZ, Edson Zangiacomi. Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, v. 18, p. 245-256, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221408. Acesso em: 06 nov. 2025.
    • APA

      Achcar, J. A., Barili, E., & Martinez, E. Z. (2023). Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, 18, 245-256. doi:10.3233/MAS-221408
    • NLM

      Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-221408
    • Vancouver

      Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-221408
  • Fonte: Model Assisted Statistics and Applications. Unidades: ICMC, FMRP

    Assuntos: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MÍNIMOS QUADRADOS

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    • ABNT

      PERES, Marcos Vinicius de Oliveira et al. Different inference approaches for the estimators of the sushila distribution. Model Assisted Statistics and Applications, v. 16, p. 251-260, 2021Tradução . . Disponível em: https://doi.org/10.3233/MAS-210539. Acesso em: 06 nov. 2025.
    • APA

      Peres, M. V. de O., Oliveira, R. P. de, Martinez, E. Z., & Achcar, J. A. (2021). Different inference approaches for the estimators of the sushila distribution. Model Assisted Statistics and Applications, 16, 251-260. doi:10.3233/MAS-210539
    • NLM

      Peres MV de O, Oliveira RP de, Martinez EZ, Achcar JA. Different inference approaches for the estimators of the sushila distribution [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 251-260.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-210539
    • Vancouver

      Peres MV de O, Oliveira RP de, Martinez EZ, Achcar JA. Different inference approaches for the estimators of the sushila distribution [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 251-260.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-210539
  • Fonte: Model Assisted Statistics and Applications. Unidade: ICMC

    Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA

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    • ABNT

      BARRIGA, Gladys Dorotea Cacsire et al. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, n. 1, p. 35-51, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190477. Acesso em: 06 nov. 2025.
    • APA

      Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
    • NLM

      Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-190477
    • Vancouver

      Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-190477
  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE ESTATÍSTICA DE DADOS

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    • ABNT

      OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family. Model Assisted Statistics and Applications, v. 15, n. 1, p. 19-34, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190476. Acesso em: 06 nov. 2025.
    • APA

      Oliveira, R. P. de, & Achcar, J. A. (2020). A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family. Model Assisted Statistics and Applications, 15( 1), 19-34. doi:10.3233/MAS-190476
    • NLM

      Oliveira RP de, Achcar JA. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 1): 19-34.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-190476
    • Vancouver

      Oliveira RP de, Achcar JA. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 1): 19-34.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-190476
  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC

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    • ABNT

      OLIVEIRA, Ricardo Puziol de et al. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 3, p. 255-268, 2019Tradução . . Disponível em: https://doi.org/10.3233/mas-190465. Acesso em: 06 nov. 2025.
    • APA

      Oliveira, R. P. de, Peres, M. V. de O., Martinez, E. Z., & Achcar, J. A. (2019). Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, 14( 3), 255-268. doi:10.3233/mas-190465
    • NLM

      Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/mas-190465
    • Vancouver

      Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/mas-190465
  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO

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    • 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: 06 nov. 2025.
    • 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 2025 nov. 06 ] 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 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-180426
  • Fonte: Model Assisted Statistics and Applications. Unidade: FMRP

    Assuntos: ANÁLISE DE SOBREVIVÊNCIA, TEMPOS ESTATÍSTICOS, PROBABILIDADE

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    • ABNT

      ACHCAR, Jorge Alberto e MARTINEZ, Edson Zangiacomi e CUEVAS, Jos Rafael Tovar. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates. Model Assisted Statistics and Applications, v. 11, p. 261-276, 2016Tradução . . Disponível em: https://doi.org/10.3233/MAS-160372. Acesso em: 06 nov. 2025.
    • APA

      Achcar, J. A., Martinez, E. Z., & Cuevas, J. R. T. (2016). Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates. Model Assisted Statistics and Applications, 11, 261-276. doi:10.3233/MAS-160372
    • NLM

      Achcar JA, Martinez EZ, Cuevas JRT. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates [Internet]. Model Assisted Statistics and Applications. 2016 ; 11 261-276.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-160372
    • Vancouver

      Achcar JA, Martinez EZ, Cuevas JRT. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates [Internet]. Model Assisted Statistics and Applications. 2016 ; 11 261-276.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3233/MAS-160372

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