Filtros : "MÉTODOS MCMC" "Inglaterra" "Journal of Applied Statistics" Removidos: "CÃES" "Jornada Odontológica de Bauru" Limpar

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  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA, MELANOMA

    Acesso à fonteDOIHow to cite
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    • ABNT

      LOUZADA, Francisco et al. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, v. 41, n. 3, p. 622-634, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.847067. Acesso em: 10 out. 2024.
    • APA

      Louzada, F., Castro, M. de, Tomazella, V., & Gonzales, J. F. B. (2014). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, 41( 3), 622-634. doi:10.1080/02664763.2013.847067
    • NLM

      Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/02664763.2013.847067
    • Vancouver

      Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/02664763.2013.847067

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