Filtros : "Model Assisted Statistics and Applications" Removido: "ANÁLISE DE SOBREVIVÊNCIA" Limpar

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  • Source: Model Assisted Statistics and Applications. Unidade: ESALQ

    Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA

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    • ABNT

      CORDEIRO, Gauss et al. The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, v. 18, n. 1, p. 57-71, 2023Tradução . . Disponível em: https://journals.sagepub.com/doi/pdf/10.3233/MAS-221364. Acesso em: 07 nov. 2025.
    • APA

      Cordeiro, G., Prataviera, F., Ortega, E. M. M., Vila, R., & Nogueira, E. V. (2023). The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, 18( 1), 57-71. doi:10.3233/MAS-221364
    • NLM

      Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2025 nov. 07 ] Available from: https://journals.sagepub.com/doi/pdf/10.3233/MAS-221364
    • Vancouver

      Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2025 nov. 07 ] Available from: https://journals.sagepub.com/doi/pdf/10.3233/MAS-221364
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: 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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.3233/MAS-221408
  • Source: Model Assisted Statistics and Applications. Unidade: ESALQ

    Subjects: COVID-19, MORTALIDADE, MODELOS MATEMÁTICOS

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    • ABNT

      CORDEIRO, Gauss M et al. Explaining COVID-19 mortality rates in the first wave in Europe. Model Assisted Statistics and Applications, v. 16, p. 211–221, 2021Tradução . . Disponível em: https://doi.org/10.3233/MAS-210534. Acesso em: 07 nov. 2025.
    • APA

      Cordeiro, G. M., Figueiredo, D., Silva, L., Ortega, E. M. M., & Prataviera, F. (2021). Explaining COVID-19 mortality rates in the first wave in Europe. Model Assisted Statistics and Applications, 16, 211–221. doi:10.3233/MAS-210534
    • NLM

      Cordeiro GM, Figueiredo D, Silva L, Ortega EMM, Prataviera F. Explaining COVID-19 mortality rates in the first wave in Europe [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 211–221.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-210534
    • Vancouver

      Cordeiro GM, Figueiredo D, Silva L, Ortega EMM, Prataviera F. Explaining COVID-19 mortality rates in the first wave in Europe [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 211–221.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-210534
  • Source: Model Assisted Statistics and Applications. Unidades: ICMC, FMRP

    Subjects: 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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.3233/MAS-210539
  • Source: Model Assisted Statistics and Applications. Unidade: ESALQ

    Subjects: HOMICÍDIO, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA

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    • ABNT

      CORDEIRO, Gauss M et al. The beta and simplex regression models to explain homicides in state capitals of Brazil. Model Assisted Statistics and Applications, v. 15, n. 3, p. 215–224, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-200489. Acesso em: 07 nov. 2025.
    • APA

      Cordeiro, G. M., Rocha, E., Figueiredo, D., Fernandes, A., Ortega, E. M. M., & Prataviera, F. (2020). The beta and simplex regression models to explain homicides in state capitals of Brazil. Model Assisted Statistics and Applications, 15( 3), 215–224. doi:10.3233/MAS-200489
    • NLM

      Cordeiro GM, Rocha E, Figueiredo D, Fernandes A, Ortega EMM, Prataviera F. The beta and simplex regression models to explain homicides in state capitals of Brazil [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 3): 215–224.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-200489
    • Vancouver

      Cordeiro GM, Rocha E, Figueiredo D, Fernandes A, Ortega EMM, Prataviera F. The beta and simplex regression models to explain homicides in state capitals of Brazil [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 3): 215–224.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-200489
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: 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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.3233/MAS-190476
  • Source: Model Assisted Statistics and Applications. Unidade: ESALQ

    Subjects: VEROSSIMILHANÇA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS

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    • ABNT

      CORDEIRO, Gauss M et al. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 1, p. 1-17, 2019Tradução . . Disponível em: https://doi.org/10.3233/MAS-180455. Acesso em: 07 nov. 2025.
    • APA

      Cordeiro, G. M., Prataviera, F., Lima, M. do C. S., & Ortega, E. M. M. (2019). The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data. Model Assisted Statistics and Applications, 14( 1), 1-17. doi:10.3233/MAS-180455
    • NLM

      Cordeiro GM, Prataviera F, Lima M do CS, Ortega EMM. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 1): 1-17.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-180455
    • Vancouver

      Cordeiro GM, Prataviera F, Lima M do CS, Ortega EMM. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 1): 1-17.[citado 2025 nov. 07 ] Available from: https://doi.org/10.3233/MAS-180455
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

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

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      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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.3233/mas-190465
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO

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      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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.3233/MAS-180426

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