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Filtros : "Communications in Statistics. Theory and Methods" "Financiamento CNPq" Limpar

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  • Artigo de periodico

    On the Skew-normal-Cauchy distribution (2011)

    Arrue, Jaime; Gomez, Hector W; Varela, Hector; Bolfarine, Heleno

    Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

    Acesso à fonteDOIHow to cite
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    • ABNT

      ARRUE, Jaime et al. On the Skew-normal-Cauchy distribution. Communications in Statistics. Theory and Methods, v. 40, n. 1, p. 15-27, 2011Tradução . . Disponível em: https://doi.org/10.1080/03610920903350549. Acesso em: 13 nov. 2025.

    • APA

      Arrue, J., Gomez, H. W., Varela, H., & Bolfarine, H. (2011). On the Skew-normal-Cauchy distribution. Communications in Statistics. Theory and Methods, 40( 1), 15-27. doi:10.1080/03610920903350549

    • NLM

      Arrue J, Gomez HW, Varela H, Bolfarine H. On the Skew-normal-Cauchy distribution [Internet]. Communications in Statistics. Theory and Methods. 2011 ; 40( 1): 15-27.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610920903350549

    • Vancouver

      Arrue J, Gomez HW, Varela H, Bolfarine H. On the Skew-normal-Cauchy distribution [Internet]. Communications in Statistics. Theory and Methods. 2011 ; 40( 1): 15-27.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610920903350549

  • Artigo de periodico

    Best linear unbiased predictor in the mixed model with incomplete data (1998)

    Barroso, Lucia Pereira ; Bussab, Wilton de Oliveira; Knott, Martin

    Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Assunto: REGRESSÃO LINEAR

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    • ABNT

      BARROSO, Lucia Pereira e BUSSAB, Wilton de Oliveira e KNOTT, Martin. Best linear unbiased predictor in the mixed model with incomplete data. Communications in Statistics. Theory and Methods, v. 27, n. 1, p. 121-129, 1998Tradução . . Disponível em: https://doi.org/10.1080/03610929808832654. Acesso em: 13 nov. 2025.

    • APA

      Barroso, L. P., Bussab, W. de O., & Knott, M. (1998). Best linear unbiased predictor in the mixed model with incomplete data. Communications in Statistics. Theory and Methods, 27( 1), 121-129. doi:10.1080/03610929808832654

    • NLM

      Barroso LP, Bussab W de O, Knott M. Best linear unbiased predictor in the mixed model with incomplete data [Internet]. Communications in Statistics. Theory and Methods. 1998 ; 27( 1): 121-129.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610929808832654

    • Vancouver

      Barroso LP, Bussab W de O, Knott M. Best linear unbiased predictor in the mixed model with incomplete data [Internet]. Communications in Statistics. Theory and Methods. 1998 ; 27( 1): 121-129.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610929808832654

  • Artigo de periodico

    Nonlinear quasi-bayesian theory and inverse linear regression (1997)

    Rodrigues, Josemar ; Bolfarine, Heleno ; Cordeiro, Gauss Moutinho

    Source: Communications in Statistics. Theory and Methods. Unidades: ICMC, IME

    Subjects: INFERÊNCIA BAYESIANA, MODELOS LINEARES GENERALIZADOS

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    • ABNT

      RODRIGUES, Josemar e BOLFARINE, Heleno e CORDEIRO, Gauss Moutinho. Nonlinear quasi-bayesian theory and inverse linear regression. Communications in Statistics. Theory and Methods, v. 26, n. 10, p. 2347-2361, 1997Tradução . . Disponível em: https://doi.org/10.1080/03610929708832052. Acesso em: 13 nov. 2025.

    • APA

      Rodrigues, J., Bolfarine, H., & Cordeiro, G. M. (1997). Nonlinear quasi-bayesian theory and inverse linear regression. Communications in Statistics. Theory and Methods, 26( 10), 2347-2361. doi:10.1080/03610929708832052

    • NLM

      Rodrigues J, Bolfarine H, Cordeiro GM. Nonlinear quasi-bayesian theory and inverse linear regression [Internet]. Communications in Statistics. Theory and Methods. 1997 ; 26( 10): 2347-2361.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610929708832052

    • Vancouver

      Rodrigues J, Bolfarine H, Cordeiro GM. Nonlinear quasi-bayesian theory and inverse linear regression [Internet]. Communications in Statistics. Theory and Methods. 1997 ; 26( 10): 2347-2361.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/03610929708832052
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