Filtros : "Communications in Statistics - Simulation and Computation" "Estados Unidos" Removido: "ESALQ" Limpar

Filtros



Limitar por data


  • Fonte: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: REGRESSÃO LINEAR

    Versão AceitaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FERREIRA, Clécio S. e BOLFARINE, Heleno e LACHOS, Victor Hugo. Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, v. 51, n. 12, p. 7194-7214, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1827265. Acesso em: 01 dez. 2025.
    • APA

      Ferreira, C. S., Bolfarine, H., & Lachos, V. H. (2022). Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, 51( 12), 7194-7214. doi:10.1080/03610918.2020.1827265
    • NLM

      Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
    • Vancouver

      Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
  • Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Assuntos: INFERÊNCIA BAYESIANA, CRÉDITO, RESPOSTAS, TEORIA DE RESPOSTA AO ITEM, MODELOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO DE SISTEMAS

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Marcelo A. da e BAZÁN GUZMÁN, Jorge Luis e HUGGINS-MANLEY, Anne Corinne. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, v. Fe 2019, n. 2, p. 601-620, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1390126. Acesso em: 01 dez. 2025.
    • APA

      Silva, M. A. da, Bazán Guzmán, J. L., & Huggins-Manley, A. C. (2019). Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, Fe 2019( 2), 601-620. doi:10.1080/03610918.2017.1390126
    • NLM

      Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
    • Vancouver

      Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2017.1390126

Biblioteca Digital de Produção Intelectual da Universidade de São Paulo     2012 - 2025