Filtros : "Journal of Applied Statistics" "Indexado no Science Citation Index" Limpar

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  • Source: Journal of Applied Statistics. Unidades: ICMC, FM, IME

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, DISTRIBUIÇÕES (PROBABILIDADE)

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    • ABNT

      CALSAVARA, Vinicius Fernando et al. Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, v. 46, n. 13, p. 2434-2459, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1597029. Acesso em: 15 nov. 2025.
    • APA

      Calsavara, V. F., Rodrigues, A. S., Rocha, R., Louzada, F., Tomazella, V., Souza, A. C. R. L. A. de, et al. (2019). Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, 46( 13), 2434-2459. doi:10.1080/02664763.2019.1597029
    • NLM

      Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
    • Vancouver

      Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
  • Source: Journal of Applied Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: SUCESSO ESCOLAR, HETEROGENEIDADE, EVASÃO ESCOLAR, TOMADA DE DECISÃO

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    • ABNT

      COBRE, Juliana e TORTORELLI, Fabiana Arca Cruz e OLIVEIRA, Sandra Cristina de. Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, v. 46, n. 14, p. 2527-2539, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1601164. Acesso em: 15 nov. 2025.
    • APA

      Cobre, J., Tortorelli, F. A. C., & Oliveira, S. C. de. (2019). Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, 46( 14), 2527-2539. doi:10.1080/02664763.2019.1601164
    • NLM

      Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
    • Vancouver

      Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
  • Source: Journal of Applied Statistics. Unidade: ICMC

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

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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: 15 nov. 2025.
    • 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 2025 nov. 15 ] 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 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.847067
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, ANÁLISE MULTIVARIADA, MÉTODOS MCMC

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    • ABNT

      FIORUCI, José Augusto e EHLERS, Ricardo Sandes e ANDRADE, Marinho Gomes de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, v. 41, n. 2, p. 320-331, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.839635. Acesso em: 15 nov. 2025.
    • APA

      Fioruci, J. A., Ehlers, R. S., & Andrade, M. G. de. (2014). Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, 41( 2), 320-331. doi:10.1080/02664763.2013.839635
    • NLM

      Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.839635
    • Vancouver

      Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.839635
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: CURVAS DE CRESCIMENTO, DISTRIBUIÇÃO NORMAL, HETEROSCEDASTICIDADE, SIMULAÇÃO (ESTATÍSTICA)

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    • ABNT

      LOUZADA, Francisco e FERREIRA, Paulo H e DINIZ, Carlos A. R. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, v. 41, n. 8, p. 1785-1798, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.891005. Acesso em: 15 nov. 2025.
    • APA

      Louzada, F., Ferreira, P. H., & Diniz, C. A. R. (2014). Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, 41( 8), 1785-1798. doi:10.1080/02664763.2014.891005
    • NLM

      Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2014.891005
    • Vancouver

      Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2014.891005
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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    • ABNT

      CANCHO, Vicente Garibay e AOKI, Reiko e LACHOS DÁVILA, Victor Hugo. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, v. no 2008, n. 11, p. 1239-1251, 2008Tradução . . Disponível em: https://doi.org/10.1080/02664760802319667. Acesso em: 15 nov. 2025.
    • APA

      Cancho, V. G., Aoki, R., & Lachos Dávila, V. H. (2008). Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, no 2008( 11), 1239-1251. doi:10.1080/02664760802319667
    • NLM

      Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664760802319667
    • Vancouver

      Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664760802319667

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