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  • Source: Communications in Statistics. Simulation and Computation. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, PROCESSOS DE FABRICAÇÃO

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    • ABNT

      MORAIS, Ricardo Saldanha de et al. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications. Communications in Statistics. Simulation and Computation, v. 46, n. 10, p. 8264-8282, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1277745. Acesso em: 23 jul. 2024.
    • APA

      Morais, R. S. de, Quinino, R. da C., Suyama, E., & Ho, L. L. (2017). Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications. Communications in Statistics. Simulation and Computation, 46( 10), 8264-8282. doi:10.1080/03610918.2016.1277745
    • NLM

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 10): 8264-8282.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918.2016.1277745
    • Vancouver

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 10): 8264-8282.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918.2016.1277745
  • Source: Communications in Statistics. Simulation and Computation. Unidade: EP

    Subjects: PROCESSOS DE MARKOV, NFERÊNCIA BAYESIANA, MATEMÁTICA DA COMPUTAÇÃO

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      CRUZ, Frederico Rodrigues Borges da e QUININO, Roberto da Costa e HO, Linda Lee. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, v. 46, n. 9, p. 6907-6922, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1236953. Acesso em: 23 jul. 2024.
    • APA

      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2017). Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, 46( 9), 6907-6922. doi:10.1080/03610918.2016.1236953
    • NLM

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918.2016.1236953
    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918.2016.1236953
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE MULTINÍVEL

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      TAMURA, Karin Ayumi e GIAMPAOLI, Viviana. Prediction in multilevel logistic regression. Communications in Statistics. Simulation and Computation, v. 39, n. 6, p. 1083-1096, 2010Tradução . . Disponível em: https://doi.org/10.1080/03610911003790106. Acesso em: 23 jul. 2024.
    • APA

      Tamura, K. A., & Giampaoli, V. (2010). Prediction in multilevel logistic regression. Communications in Statistics. Simulation and Computation, 39( 6), 1083-1096. doi:10.1080/03610911003790106
    • NLM

      Tamura KA, Giampaoli V. Prediction in multilevel logistic regression [Internet]. Communications in Statistics. Simulation and Computation. 2010 ; 39( 6): 1083-1096.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610911003790106
    • Vancouver

      Tamura KA, Giampaoli V. Prediction in multilevel logistic regression [Internet]. Communications in Statistics. Simulation and Computation. 2010 ; 39( 6): 1083-1096.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610911003790106
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA NÃO PARAMÉTRICA

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      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: 23 jul. 2024.
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      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 2024 jul. 23 ] 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 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610910903453427
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      AUBIN, Elisete da Conceição Quintaneiro e CORDEIRO, Gauss Moutinho. Bias in linear regression models with unknown covariance matrix. Communications in Statistics. Simulation and Computation, v. 26, n. 3, p. 813-828, 1997Tradução . . Disponível em: https://doi.org/10.1080/03610919708813413. Acesso em: 23 jul. 2024.
    • APA

      Aubin, E. da C. Q., & Cordeiro, G. M. (1997). Bias in linear regression models with unknown covariance matrix. Communications in Statistics. Simulation and Computation, 26( 3), 813-828. doi:10.1080/03610919708813413
    • NLM

      Aubin E da CQ, Cordeiro GM. Bias in linear regression models with unknown covariance matrix [Internet]. Communications in Statistics. Simulation and Computation. 1997 ; 26( 3): 813-828.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610919708813413
    • Vancouver

      Aubin E da CQ, Cordeiro GM. Bias in linear regression models with unknown covariance matrix [Internet]. Communications in Statistics. Simulation and Computation. 1997 ; 26( 3): 813-828.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610919708813413
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      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: 23 jul. 2024.
    • 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 2024 jul. 23 ] 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 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610929708832050
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA PARAMÉTRICA

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      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: 23 jul. 2024.
    • 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 2024 jul. 23 ] 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 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610919308813097
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Assunto: PESQUISA E PLANEJAMENTO ESTATÍSTICO

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      CORDEIRO, Gauss Moutinho e PAULA, Gilberto Alvarenga. Estimation large-sample parametric tests and diagnostics for non-exponential family nonlinear models. Communications in Statistics. Simulation and Computation, v. 21, n. 1 , p. 149-72, 1992Tradução . . Disponível em: https://doi.org/10.1080/03610919208813012. Acesso em: 23 jul. 2024.
    • APA

      Cordeiro, G. M., & Paula, G. A. (1992). Estimation large-sample parametric tests and diagnostics for non-exponential family nonlinear models. Communications in Statistics. Simulation and Computation, 21( 1 ), 149-72. doi:10.1080/03610919208813012
    • NLM

      Cordeiro GM, Paula GA. Estimation large-sample parametric tests and diagnostics for non-exponential family nonlinear models [Internet]. Communications in Statistics. Simulation and Computation. 1992 ;21( 1 ): 149-72.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610919208813012
    • Vancouver

      Cordeiro GM, Paula GA. Estimation large-sample parametric tests and diagnostics for non-exponential family nonlinear models [Internet]. Communications in Statistics. Simulation and Computation. 1992 ;21( 1 ): 149-72.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610919208813012
  • Source: Communications in Statistics. Simulation and Computation. Unidade: IME

    Subjects: ROBUSTEZ, ANÁLISE MULTIVARIADA

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      SINGER, Júlio da Motta e SEN, P K. Asymptotic relative efficiency of multivariate m-estimators. Communications in Statistics. Simulation and Computation, v. 14, p. 29-41, 1985Tradução . . Disponível em: https://doi.org/10.1080/03610918508812424. Acesso em: 23 jul. 2024.
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      Singer, J. da M., & Sen, P. K. (1985). Asymptotic relative efficiency of multivariate m-estimators. Communications in Statistics. Simulation and Computation, 14, 29-41. doi:10.1080/03610918508812424
    • NLM

      Singer J da M, Sen PK. Asymptotic relative efficiency of multivariate m-estimators [Internet]. Communications in Statistics. Simulation and Computation. 1985 ;14 29-41.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918508812424
    • Vancouver

      Singer J da M, Sen PK. Asymptotic relative efficiency of multivariate m-estimators [Internet]. Communications in Statistics. Simulation and Computation. 1985 ;14 29-41.[citado 2024 jul. 23 ] Available from: https://doi.org/10.1080/03610918508812424

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