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Filtros : "Universidade Federal do Ceará (UFC)" "GUZMÁN, JORGE LUIS BAZÁN" Removido: "Financiamento IBM" 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

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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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1080/02664763.2021.1998392

  • Artigo de periodico

    Augmented-limited regression models with an application to the study of the risk perceived using continuous scales (2021)

    Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos

    Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: MODELAGEM DE DADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)

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    • ABNT

      SILVA, Ana R. S et al. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, v. 48, n. 11, p. 1998-2021, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1783518. Acesso em: 04 ago. 2024.

    • APA

      Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, 48( 11), 1998-2021. doi:10.1080/02664763.2020.1783518

    • NLM

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1080/02664763.2020.1783518

    • Vancouver

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1080/02664763.2020.1783518

  • Artigo de periodico

    Bayesian inference for zero-and/or-one augmented beta rectangular regression models (2021)

    Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 04 ago. 2024.

    • APA

      Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505

    • NLM

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1214/21-BJPS505

    • Vancouver

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1214/21-BJPS505
  • 1

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