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Filtros : "Communications in Statistics - Simulation and Computation" "REGRESSÃO LINEAR" Removido: "INFERÊNCIA ESTATÍSTICA" Limpar

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  • Artigo de periodico

    Linear mixed models based on skew scale mixtures of normal distributions (2022)

    Ferreira, Clécio S. ; Bolfarine, Heleno ; Lachos, Victor Hugo

    Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: REGRESSÃO LINEAR

    Versão AceitaAcesso à fonteDOIHow to cite
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    • 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: 28 nov. 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 nov. 28 ] 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 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1827265

  • Artigo de periodico

    A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework (2019)

    Alizadeh, Morad ; Ramires, Thiago G ; Mirmostafaee, S. M. T. K.; Samizadeh, Maryam; Ortega, Edwin Moises Marcos

    Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: REGRESSÃO LINEAR, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE)

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      ALIZADEH, Morad et al. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, v. 48, n. 6, p. 1746–1767, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423691. Acesso em: 28 nov. 2025.

    • APA

      Alizadeh, M., Ramires, T. G., Mirmostafaee, S. M. T. K., Samizadeh, M., & Ortega, E. M. M. (2019). A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, 48( 6), 1746–1767. doi:10.1080/03610918.2018.1423691

    • NLM

      Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1423691

    • Vancouver

      Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1423691

  • Artigo de periodico

    New regression model with four regression structures and computational aspects (2018)

    Ramires, Thiago Gentil; Ortega, Edwin Moisés Marcos; Cordeiro, Gauss Moutinho ; Paula, Gilberto Alvarenga ; Hens, Niel

    Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, IME

    Subjects: REGRESSÃO LINEAR, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, MÉTODO DE CAUCHY, MÉTODOS DE DIAGNÓSTICOS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      RAMIRES, Thiago Gentil et al. New regression model with four regression structures and computational aspects. Communications in Statistics - Simulation and Computation, v. 47, n. 7, p. 1940-1962, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1332212. Acesso em: 28 nov. 2025.

    • APA

      Ramires, T. G., Ortega, E. M. M., Cordeiro, G. M., Paula, G. A., & Hens, N. (2018). New regression model with four regression structures and computational aspects. Communications in Statistics - Simulation and Computation, 47( 7), 1940-1962. doi:10.1080/03610918.2017.1332212

    • NLM

      Ramires TG, Ortega EMM, Cordeiro GM, Paula GA, Hens N. New regression model with four regression structures and computational aspects [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 7): 1940-1962.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1332212

    • Vancouver

      Ramires TG, Ortega EMM, Cordeiro GM, Paula GA, Hens N. New regression model with four regression structures and computational aspects [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 7): 1940-1962.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1332212
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