Filtros : "Caeiro, Frederico" Limpar

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

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, ANÁLISE DE RISCO

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    • ABNT

      GOMES, M. Ivette et al. Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, v. 49, n. 4, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1489053. Acesso em: 05 nov. 2024.
    • APA

      Gomes, M. I., Caeiro, F., Figueiredo, F., Rodrigues, L. C. P. H. J., & Pestana, D. (2020). Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, 49( 4). doi:10.1080/03610918.2018.1489053
    • NLM

      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
    • Vancouver

      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
  • Source: Mathematical Methods in the Applied Sciences. Unidade: IME

    Assunto: ESTATÍSTICA

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      CAEIRO, Frederico e HENRIQUES‐RODRIGUES, Lígia. Reduced‐bias kernel estimators of a positive extreme value index. Mathematical Methods in the Applied Sciences, v. 42, n. 17, p. 5867-5880, 2019Tradução . . Disponível em: https://doi.org/10.1002/mma.5761. Acesso em: 05 nov. 2024.
    • APA

      Caeiro, F., & Henriques‐Rodrigues, L. (2019). Reduced‐bias kernel estimators of a positive extreme value index. Mathematical Methods in the Applied Sciences, 42( 17), 5867-5880. doi:10.1002/mma.5761
    • NLM

      Caeiro F, Henriques‐Rodrigues L. Reduced‐bias kernel estimators of a positive extreme value index [Internet]. Mathematical Methods in the Applied Sciences. 2019 ; 42( 17): 5867-5880.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/mma.5761
    • Vancouver

      Caeiro F, Henriques‐Rodrigues L. Reduced‐bias kernel estimators of a positive extreme value index [Internet]. Mathematical Methods in the Applied Sciences. 2019 ; 42( 17): 5867-5880.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/mma.5761
  • Source: Computational and Mathematical Methods. Unidade: IME

    Assunto: DISTRIBUIÇÕES DE EXTREMOS

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      CAEIRO, Frederico e HENRIQUES-RODRIGUES, Lígia e GOMES, Dora Prata. A simple class of reduced bias kernel estimators of extreme value parameters. Computational and Mathematical Methods, v. 1, n. 3, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1002/cmm4.1025. Acesso em: 05 nov. 2024.
    • APA

      Caeiro, F., Henriques-Rodrigues, L., & Gomes, D. P. (2019). A simple class of reduced bias kernel estimators of extreme value parameters. Computational and Mathematical Methods, 1( 3), 1-12. doi:10.1002/cmm4.1025
    • NLM

      Caeiro F, Henriques-Rodrigues L, Gomes DP. A simple class of reduced bias kernel estimators of extreme value parameters [Internet]. Computational and Mathematical Methods. 2019 ; 1( 3): 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/cmm4.1025
    • Vancouver

      Caeiro F, Henriques-Rodrigues L, Gomes DP. A simple class of reduced bias kernel estimators of extreme value parameters [Internet]. Computational and Mathematical Methods. 2019 ; 1( 3): 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/cmm4.1025
  • Source: Book of abstracts. Conference titles: Workshop on Computational Data Analysis and Numerical Methods. Unidade: IME

    Subjects: ESTIMAÇÃO SEMIPARAMÉTRICA, MÉTODOS MCMC

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    • ABNT

      GOMES, M. Ivette et al. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison. 2018, Anais.. Felgueiras: Instituto Politécnico do Porto, 2018. Disponível em: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf. Acesso em: 05 nov. 2024.
    • APA

      Gomes, M. I., Caeiro, F., Figueiredo, F., Henriques-Rodrigues, L., & Pestana, D. (2018). Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison. In Book of abstracts. Felgueiras: Instituto Politécnico do Porto. Recuperado de http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
    • NLM

      Gomes MI, Caeiro F, Figueiredo F, Henriques-Rodrigues L, Pestana D. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison [Internet]. Book of abstracts. 2018 ;[citado 2024 nov. 05 ] Available from: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
    • Vancouver

      Gomes MI, Caeiro F, Figueiredo F, Henriques-Rodrigues L, Pestana D. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison [Internet]. Book of abstracts. 2018 ;[citado 2024 nov. 05 ] Available from: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
  • Source: Extreme events in finance: a handbook of extreme value theory and its applications. Unidade: IME

    Subjects: INFERÊNCIA PARAMÉTRICA, ESTATÍSTICA

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    • ABNT

      GOMES, M. Ivette et al. Bootstrap methods in statistics of extremes. Extreme events in finance: a handbook of extreme value theory and its applications. Tradução . Hoboken: Wiley, 2016. . Disponível em: https://doi.org/10.1002/9781118650318.ch6. Acesso em: 05 nov. 2024.
    • APA

      Gomes, M. I., Caeiro, F., Henriques-Rodrigues, L., & Manjunat, B. G. (2016). Bootstrap methods in statistics of extremes. In Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley. doi:10.1002/9781118650318.ch6
    • NLM

      Gomes MI, Caeiro F, Henriques-Rodrigues L, Manjunat BG. Bootstrap methods in statistics of extremes [Internet]. In: Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley; 2016. [citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/9781118650318.ch6
    • Vancouver

      Gomes MI, Caeiro F, Henriques-Rodrigues L, Manjunat BG. Bootstrap methods in statistics of extremes [Internet]. In: Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley; 2016. [citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/9781118650318.ch6

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