Filtros : "Communications in Statistics - Theory and Methods" "Financiado pelo CNPq" Removido: "Financiado pela FAPESP" Limpar

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  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: MÉTODO DE MONTE CARLO, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, TESTES DE HIPÓTESES

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      CAVALCANTI, Alexsandro Bezerra et al. Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods, v. 50, n. 15, p. 3731-3745, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1710202. Acesso em: 20 nov. 2025.
    • APA

      Cavalcanti, A. B., Botter, D. A., Barroso, L. P., Santos-Neto, M., & Cordeiro, G. M. (2021). Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods, 50( 15), 3731-3745. doi:10.1080/03610926.2019.1710202
    • NLM

      Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2021 ; 50( 15): 3731-3745.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2019.1710202
    • Vancouver

      Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2021 ; 50( 15): 3731-3745.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2019.1710202
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Assunto: PROBABILIDADE

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    • ABNT

      BOLFARINE, Heleno e MARTÍNEZ-FLÓREZ, Guillermo e SALINAS, Hugo S. Bimodal symmetric-asymmetric power-normal families. Communications in Statistics - Theory and Methods, v. 47, n. 2, p. 259-276, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2013.765475. Acesso em: 20 nov. 2025.
    • APA

      Bolfarine, H., Martínez-Flórez, G., & Salinas, H. S. (2018). Bimodal symmetric-asymmetric power-normal families. Communications in Statistics - Theory and Methods, 47( 2), 259-276. doi:10.1080/03610926.2013.765475
    • NLM

      Bolfarine H, Martínez-Flórez G, Salinas HS. Bimodal symmetric-asymmetric power-normal families [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 2): 259-276.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2013.765475
    • Vancouver

      Bolfarine H, Martínez-Flórez G, Salinas HS. Bimodal symmetric-asymmetric power-normal families [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 2): 259-276.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2013.765475
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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    • ABNT

      ASSANE, Cachimo Combo e PEREIRA, Basilio de Braganca e PEREIRA, Carlos Alberto de Bragança. Bayesian significance test for discriminating between survival distributions. Communications in Statistics - Theory and Methods, v. 47, n. 24, p. 6095-6107, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1406117. Acesso em: 20 nov. 2025.
    • APA

      Assane, C. C., Pereira, B. de B., & Pereira, C. A. de B. (2018). Bayesian significance test for discriminating between survival distributions. Communications in Statistics - Theory and Methods, 47( 24), 6095-6107. doi:10.1080/03610926.2017.1406117
    • NLM

      Assane CC, Pereira B de B, Pereira CA de B. Bayesian significance test for discriminating between survival distributions [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 24): 6095-6107.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2017.1406117
    • Vancouver

      Assane CC, Pereira B de B, Pereira CA de B. Bayesian significance test for discriminating between survival distributions [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 24): 6095-6107.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1080/03610926.2017.1406117

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