Filtros : "Journal of Applied Statistics" "FMRP" Removido: "EP" Limpar

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  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, DADOS CENSURADOS

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    • ABNT

      PERALTA, Danielle e OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, v. 51, n. 9, p. 1772-1791, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2235093. Acesso em: 15 out. 2024.
    • APA

      Peralta, D., Oliveira, R. P. de, & Achcar, J. A. (2023). A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, 51( 9), 1772-1791. doi:10.1080/02664763.2023.2235093
    • NLM

      Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
    • Vancouver

      Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
  • Source: Journal of Applied Statistics. Unidades: ICMC, FMRP

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, CURA, NEOPLASIAS

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    • ABNT

      SOUZA, Hayala Cristina Cavenague de et al. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, v. 49, n. 12, p. 3178–3194, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1933923. Acesso em: 15 out. 2024.
    • APA

      Souza, H. C. C. de, Louzada, F., Ramos, P. L., Oliveira Júnior, M. R. de, & Perdoná, G. da S. C. (2022). A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, 49( 12), 3178–3194. doi:10.1080/02664763.2021.1933923
    • NLM

      Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
    • Vancouver

      Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
  • Source: Journal of Applied Statistics. Unidades: ICMC, FMRP

    Subjects: PARTO, ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, EDUCAÇÃO

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    • ABNT

      SOUZA, Hayala Cristina Cavenague de et al. The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, v. 49, n. 9, p. 2416-2429, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1896684. Acesso em: 15 out. 2024.
    • APA

      Souza, H. C. C. de, Louzada, F., Oliveira, M. R. de, Fawole, B., Akintan, A., Oyeneyin, L., et al. (2022). The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, 49( 9), 2416-2429. doi:10.1080/02664763.2021.1896684
    • NLM

      Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
    • Vancouver

      Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE ESTATÍSTICA DE DADOS, DISTRIBUIÇÃO BINOMIAL

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    • ABNT

      OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, v. 48, n. 16, p. 2982-3001, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1789075. Acesso em: 15 out. 2024.
    • APA

      Oliveira, R. P. de, & Achcar, J. A. (2021). Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, 48( 16), 2982-3001. doi:10.1080/02664763.2020.1789075
    • NLM

      Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
    • Vancouver

      Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: OFTALMOPATIAS, RETINA, ESTATÍSTICA APLICADA

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    • ABNT

      OLIVEIRA, Ricardo Puziol de et al. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach. Journal of Applied Statistics, v. 46, n. 3, p. 449-467, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1495701. Acesso em: 15 out. 2024.
    • APA

      Oliveira, R. P. de, Achcar, J. A., Peralta, D., & Mazucheli, J. (2019). Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach. Journal of Applied Statistics, 46( 3), 449-467. doi:10.1080/02664763.2018.1495701
    • NLM

      Oliveira RP de, Achcar JA, Peralta D, Mazucheli J. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 449-467.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2018.1495701
    • Vancouver

      Oliveira RP de, Achcar JA, Peralta D, Mazucheli J. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 449-467.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2018.1495701
  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: REGRESSÃO LINEAR, PROBABILIDADE, SELEÇÃO DE MODELOS

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    • ABNT

      MAZUCHELI, J. et al. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics, v. 47, n. 6, p. 954-974, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1657813. Acesso em: 15 out. 2024.
    • APA

      Mazucheli, J., Menezes, A. F. B., Fernandes, L. B., Oliveira, R. P. de, & Ghitany, M. E. (2019). The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics, 47( 6), 954-974. doi:10.1080/02664763.2019.1657813
    • NLM

      Mazucheli J, Menezes AFB, Fernandes LB, Oliveira RP de, Ghitany ME. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates [Internet]. Journal of Applied Statistics. 2019 ; 47( 6): 954-974.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1657813
    • Vancouver

      Mazucheli J, Menezes AFB, Fernandes LB, Oliveira RP de, Ghitany ME. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates [Internet]. Journal of Applied Statistics. 2019 ; 47( 6): 954-974.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1657813
  • Source: Journal of Applied Statistics. Unidades: FMRP, ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, PROBABILIDADE, CRIANÇAS, HIV

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    • ABNT

      PERDONÁ, Gleici Castro e LOUZADA, Francisco. A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, v. 38, n. 7, p. 1395-1405, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.505948. Acesso em: 15 out. 2024.
    • APA

      Perdoná, G. C., & Louzada, F. (2011). A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, 38( 7), 1395-1405. doi:10.1080/02664763.2010.505948
    • NLM

      Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.505948
    • Vancouver

      Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.505948
  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: BIOESTATÍSTICA, MALÁRIA, INFERÊNCIA BAYESIANA

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      MARTINEZ, Edson Zangiacomi e ARAGON, Davi Casale e ACHCAR, Jorge Alberto. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, v. 38, n. 6, p. 1303-1309, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.498503. Acesso em: 15 out. 2024.
    • APA

      Martinez, E. Z., Aragon, D. C., & Achcar, J. A. (2011). A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, 38( 6), 1303-1309. doi:10.1080/02664763.2010.498503
    • NLM

      Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.498503
    • Vancouver

      Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.498503

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