Filtros : "Communications in Statistics. Simulation and Computation" "Bolfarine, Heleno" Removido: "PESQUISA E PLANEJAMENTO ESTATÍSTICO" Limpar

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

    Assunto: INFERÊNCIA NÃO PARAMÉTRICA

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    • ABNT

      CASANOVA, Maria Paz e ZUAZOLA, Pilar Loreto Iglesias e BOLFARINE, Heleno. A Bayesian semiparametric approach for solving the discrete calibration problem. Communications in Statistics. Simulation and Computation, v. 39, n. 2, p. 347-360, 2010Tradução . . Disponível em: https://doi.org/10.1080/03610910903453427. Acesso em: 30 nov. 2025.
    • APA

      Casanova, M. P., Zuazola, P. L. I., & Bolfarine, H. (2010). A Bayesian semiparametric approach for solving the discrete calibration problem. Communications in Statistics. Simulation and Computation, 39( 2), 347-360. doi:10.1080/03610910903453427
    • NLM

      Casanova MP, Zuazola PLI, Bolfarine H. A Bayesian semiparametric approach for solving the discrete calibration problem [Internet]. Communications in Statistics. Simulation and Computation. 2010 ; 39( 2): 347-360.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610910903453427
    • Vancouver

      Casanova MP, Zuazola PLI, Bolfarine H. A Bayesian semiparametric approach for solving the discrete calibration problem [Internet]. Communications in Statistics. Simulation and Computation. 2010 ; 39( 2): 347-360.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610910903453427
  • Fonte: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      LIMA, Claudia Regina O. de Paiva e BOLFARINE, Heleno e SANDOVAL, Monica Carneiro. Linear calibration in functional regression models. Communications in Statistics. Simulation and Computation, v. 26, n. 10, p. 2307-2328, 1997Tradução . . Disponível em: https://doi.org/10.1080/03610929708832050. Acesso em: 30 nov. 2025.
    • APA

      Lima, C. R. O. de P., Bolfarine, H., & Sandoval, M. C. (1997). Linear calibration in functional regression models. Communications in Statistics. Simulation and Computation, 26( 10), 2307-2328. doi:10.1080/03610929708832050
    • NLM

      Lima CRO de P, Bolfarine H, Sandoval MC. Linear calibration in functional regression models [Internet]. Communications in Statistics. Simulation and Computation. 1997 ; 26( 10): 2307-2328.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610929708832050
    • Vancouver

      Lima CRO de P, Bolfarine H, Sandoval MC. Linear calibration in functional regression models [Internet]. Communications in Statistics. Simulation and Computation. 1997 ; 26( 10): 2307-2328.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610929708832050
  • Fonte: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA PARAMÉTRICA

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

      BOLFARINE, Heleno e SANDOVAL, M C. Empirical bayesian prediction in the location error in variables superpopulation model. Communications in Statistics. Simulation and Computation, v. 22, n. ju 1993, p. 345-70, 1993Tradução . . Disponível em: https://doi.org/10.1080/03610919308813097. Acesso em: 30 nov. 2025.
    • APA

      Bolfarine, H., & Sandoval, M. C. (1993). Empirical bayesian prediction in the location error in variables superpopulation model. Communications in Statistics. Simulation and Computation, 22( ju 1993), 345-70. doi:10.1080/03610919308813097
    • NLM

      Bolfarine H, Sandoval MC. Empirical bayesian prediction in the location error in variables superpopulation model [Internet]. Communications in Statistics. Simulation and Computation. 1993 ;22( ju 1993): 345-70.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610919308813097
    • Vancouver

      Bolfarine H, Sandoval MC. Empirical bayesian prediction in the location error in variables superpopulation model [Internet]. Communications in Statistics. Simulation and Computation. 1993 ;22( ju 1993): 345-70.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610919308813097

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