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Filtros : "Journal of Applied Statistics" "Dey, Dipak Kumar" Limpar

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  • Artigo de periodico

    A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2023)

    Paz, Rosineide Fernando da ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo ; Dey, Dipak Kumar

    Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 08 ago. 2024.

    • APA

      Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392

    • NLM

      Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1998392

    • Vancouver

      Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1998392

  • Artigo de periodico

    An extended poisson family of life distribution: a unified approach in competitive and complementary risks (2020)

    Ramos, Pedro Luiz ; Dey, Dipak Kumar; Louzada, Francisco ; Lachos, Victor Hugo

    Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÃO DE POISSON, FALHA

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      RAMOS, Pedro Luiz et al. An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, v. 47, n. 2, p. 306-322, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1644488. Acesso em: 08 ago. 2024.

    • APA

      Ramos, P. L., Dey, D. K., Louzada, F., & Lachos, V. H. (2020). An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, 47( 2), 306-322. doi:10.1080/02664763.2019.1644488

    • NLM

      Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2019.1644488

    • Vancouver

      Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
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