Filtros : "Communications in Statistics - Simulation and Computation" "IME-MAE" Limpar

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

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

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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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1332212
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR

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    • ABNT

      CORDEIRO, Gauss Moutinho et al. The Kumaraswamy normal linear regression model with applications. Communications in Statistics - Simulation and Computation, v. 47, p. 3062-3082, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1367808. Acesso em: 11 nov. 2025.
    • APA

      Cordeiro, G. M., Machado, E. C., Botter, D. A., & Sandoval, M. C. (2018). The Kumaraswamy normal linear regression model with applications. Communications in Statistics - Simulation and Computation, 47, 3062-3082. doi:10.1080/03610918.2017.1367808
    • NLM

      Cordeiro GM, Machado EC, Botter DA, Sandoval MC. The Kumaraswamy normal linear regression model with applications [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47 3062-3082.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1367808
    • Vancouver

      Cordeiro GM, Machado EC, Botter DA, Sandoval MC. The Kumaraswamy normal linear regression model with applications [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47 3062-3082.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1367808
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: ROBUSTEZ, MÉTODO DE MONTE CARLO, VALORES ATÍPICOS, ANÁLISE MULTIVARIADA

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    • ABNT

      CIRILLO, Marcelo Ângelo e BARROSO, Lucia Pereira. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, v. 46, n. 3, p. 1895-1905, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2015.1018998. Acesso em: 11 nov. 2025.
    • APA

      Cirillo, M. Â., & Barroso, L. P. (2017). Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, 46( 3), 1895-1905. doi:10.1080/03610918.2015.1018998
    • NLM

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
    • Vancouver

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      GALLARDO MATELUNA, Diego Ignacio e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. Promotion time cure rate model with bivariate random effects. Communications in Statistics - Simulation and Computation, v. 45, n. 2, p. 603-624, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610918.2013.867994. Acesso em: 11 nov. 2025.
    • APA

      Gallardo Mateluna, D. I., Bolfarine, H., & Lima, A. C. P. de. (2016). Promotion time cure rate model with bivariate random effects. Communications in Statistics - Simulation and Computation, 45( 2), 603-624. doi:10.1080/03610918.2013.867994
    • NLM

      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. Promotion time cure rate model with bivariate random effects [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 2): 603-624.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2013.867994
    • Vancouver

      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. Promotion time cure rate model with bivariate random effects [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 2): 603-624.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2013.867994
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

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    • ABNT

      SATO, João Ricardo et al. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation, 2008Tradução . . Acesso em: 11 nov. 2025.
    • APA

      Sato, J. R., Costafreda, S., Morettin, P. A., & Brammer, M. J. (2008). Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation.
    • NLM

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 nov. 11 ]
    • Vancouver

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 nov. 11 ]
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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    • ABNT

      MIZOI, Márcia Fumi e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. Cure rate model with measurement error. Communications in Statistics - Simulation and Computation, v. 36, n. 1, p. 185-196, 2007Tradução . . Disponível em: https://doi.org/10.1080/03610910601095991. Acesso em: 11 nov. 2025.
    • APA

      Mizoi, M. F., Bolfarine, H., & Lima, A. C. P. de. (2007). Cure rate model with measurement error. Communications in Statistics - Simulation and Computation, 36( 1), 185-196. doi:10.1080/03610910601095991
    • NLM

      Mizoi MF, Bolfarine H, Lima ACP de. Cure rate model with measurement error [Internet]. Communications in Statistics - Simulation and Computation. 2007 ; 36( 1): 185-196.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610910601095991
    • Vancouver

      Mizoi MF, Bolfarine H, Lima ACP de. Cure rate model with measurement error [Internet]. Communications in Statistics - Simulation and Computation. 2007 ; 36( 1): 185-196.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610910601095991
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: TESTES DE HIPÓTESES

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      CYSNEIROS, Francisco José de Azevêdo e PAULA, Gilberto Alvarenga. One-sided tests in linear models with multivariate t-distribution. Communications in Statistics - Simulation and Computation, v. 33, n. 3, p. 747-771, 2004Tradução . . Disponível em: https://doi.org/10.1081/SAC-200033290. Acesso em: 11 nov. 2025.
    • APA

      Cysneiros, F. J. de A., & Paula, G. A. (2004). One-sided tests in linear models with multivariate t-distribution. Communications in Statistics - Simulation and Computation, 33( 3), 747-771. doi:10.1081/SAC-200033290
    • NLM

      Cysneiros FJ de A, Paula GA. One-sided tests in linear models with multivariate t-distribution [Internet]. Communications in Statistics - Simulation and Computation. 2004 ; 33( 3): 747-771.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1081/SAC-200033290
    • Vancouver

      Cysneiros FJ de A, Paula GA. One-sided tests in linear models with multivariate t-distribution [Internet]. Communications in Statistics - Simulation and Computation. 2004 ; 33( 3): 747-771.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1081/SAC-200033290
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: TEORIA DA PREVISÃO EM POPULAÇÕES FINITAS, MODELOS LINEARES GENERALIZADOS

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      BOLFARINE, Heleno. Finite population prediction under dynamic generalized linear models. Communications in Statistics - Simulation and Computation, v. 17, n. 1 , p. 187-207, 1988Tradução . . Disponível em: https://doi.org/10.1080/03610918808812656. Acesso em: 11 nov. 2025.
    • APA

      Bolfarine, H. (1988). Finite population prediction under dynamic generalized linear models. Communications in Statistics - Simulation and Computation, 17( 1 ), 187-207. doi:10.1080/03610918808812656
    • NLM

      Bolfarine H. Finite population prediction under dynamic generalized linear models [Internet]. Communications in Statistics - Simulation and Computation. 1988 ; 17( 1 ): 187-207.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918808812656
    • Vancouver

      Bolfarine H. Finite population prediction under dynamic generalized linear models [Internet]. Communications in Statistics - Simulation and Computation. 1988 ; 17( 1 ): 187-207.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918808812656

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