Filtros : "Communications in Statistics - Simulation and Computation" "INFERÊNCIA ESTATÍSTICA" Removido: "2004" Limpar

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

    Subjects: AMOSTRAGEM, INFERÊNCIA ESTATÍSTICA, MÉTODO DE MONTE CARLO, REAMOSTRAGEM BOOTSTRAP, TEORIA ASSINTÓTICA, VEROSSIMILHANÇA

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      TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2196749. Acesso em: 05 jul. 2025.
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      Taconeli, C. A., & Lara, I. A. R. de. (2023). Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, 1-23. doi:10.1080/03610918.2023.2196749
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      Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
    • Vancouver

      Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MARTINO, L. e LOUZADA, Francisco. Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, v. 48, n. 3, p. 655-665, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1395039. Acesso em: 05 jul. 2025.
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      Martino, L., & Louzada, F. (2019). Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, 48( 3), 655-665. doi:10.1080/03610918.2017.1395039
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      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
    • Vancouver

      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR

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      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: 05 jul. 2025.
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      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 jul. 05 ] 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 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2017.1367808
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      HARTMANN, Marcelo e EHLERS, Ricardo Sandes. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5285-5302, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1152365. Acesso em: 05 jul. 2025.
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      Hartmann, M., & Ehlers, R. S. (2017). Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, 46( 7), 5285-5302. doi:10.1080/03610918.2016.1152365
    • NLM

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1152365
    • Vancouver

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1152365
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      ZEVALLOS, Mauricio e GASCO, Loretta e EHLERS, Ricardo Sandes. Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 7942-7956, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1255972. Acesso em: 05 jul. 2025.
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      Zevallos, M., Gasco, L., & Ehlers, R. S. (2017). Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, 46( 10), 7942-7956. doi:10.1080/03610918.2016.1255972
    • NLM

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
    • Vancouver

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MAZUCHELI, Josmar e GHITANY, M. E e LOUZADA, Francisco. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5627-5645, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1171345. Acesso em: 05 jul. 2025.
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      Mazucheli, J., Ghitany, M. E., & Louzada, F. (2017). Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, 46( 7), 5627-5645. doi:10.1080/03610918.2016.1171345
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      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1171345
    • Vancouver

      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1171345
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS

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      MILANI, Eder e ANDRADE, Marinho Gomes de e DINIZ, Carlos. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5819-5835, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2015.1100736. Acesso em: 05 jul. 2025.
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      Milani, E., Andrade, M. G. de, & Diniz, C. (2017). Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, 46( 7), 5819-5835. doi:10.1080/03610918.2015.1100736
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      Milani E, Andrade MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2015.1100736
    • Vancouver

      Milani E, Andrade MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2015.1100736
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      ANDRADE, Breno Silveira de e LESKOW, Jacek e ANDRADE, Marinho Gomes de. Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, v. 46, n. 9, p. 7166-7179, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1230215. Acesso em: 05 jul. 2025.
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      Andrade, B. S. de, Leskow, J., & Andrade, M. G. de. (2017). Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, 46( 9), 7166-7179. doi:10.1080/03610918.2016.1230215
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      Andrade BS de, Leskow J, Andrade MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1230215
    • Vancouver

      Andrade BS de, Leskow J, Andrade MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2016.1230215
  • 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: 05 jul. 2025.
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      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
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      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 jul. 05 ] 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 jul. 05 ] Available from: https://doi.org/10.1080/03610918.2013.867994
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, OTIMIZAÇÃO ESTOCÁSTICA

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      RUSSO, Cibele Maria e AOKI, Reiko e PINTO JUNIOR, Dorival Leão. Hypotheses testing on a multivariate null intercept errors-in-variables model. Communications in Statistics - Simulation and Computation, 2009Tradução . . Disponível em: http://www.informaworld.com/smpp/content~db=all~content=a912581824. Acesso em: 05 jul. 2025.
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      Russo, C. M., Aoki, R., & Pinto Junior, D. L. (2009). Hypotheses testing on a multivariate null intercept errors-in-variables model. Communications in Statistics - Simulation and Computation. Recuperado de http://www.informaworld.com/smpp/content~db=all~content=a912581824
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      Russo CM, Aoki R, Pinto Junior DL. Hypotheses testing on a multivariate null intercept errors-in-variables model [Internet]. Communications in Statistics - Simulation and Computation. 2009 ;[citado 2025 jul. 05 ] Available from: http://www.informaworld.com/smpp/content~db=all~content=a912581824
    • Vancouver

      Russo CM, Aoki R, Pinto Junior DL. Hypotheses testing on a multivariate null intercept errors-in-variables model [Internet]. Communications in Statistics - Simulation and Computation. 2009 ;[citado 2025 jul. 05 ] Available from: http://www.informaworld.com/smpp/content~db=all~content=a912581824
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      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: 05 jul. 2025.
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      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
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      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 jul. 05 ] 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 jul. 05 ] Available from: https://doi.org/10.1080/03610910601095991

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