Filtros : "ACHCAR, JORGE ALBERTO" "DISTRIBUIÇÃO BINOMIAL" Removido: "2020" Limpar

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  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE ESTATÍSTICA DE DADOS, DISTRIBUIÇÃO BINOMIAL

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, v. 48, n. 16, p. 2982-3001, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1789075. Acesso em: 06 out. 2024.
    • APA

      Oliveira, R. P. de, & Achcar, J. A. (2021). Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, 48( 16), 2982-3001. doi:10.1080/02664763.2020.1789075
    • NLM

      Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
    • Vancouver

      Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
  • Source: International Journal of Quality and Reliability Management. Unidade: FMRP

    Subjects: ESTATÍSTICA COMPUTACIONAL, DISTRIBUIÇÃO BINOMIAL, ESTATÍSTICA APLICADA

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    • ABNT

      OPRIME, Pedro Carlos et al. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach. International Journal of Quality and Reliability Management, v. 36, n. 6, p. 875-894, 2019Tradução . . Disponível em: https://doi.org/10.1108/ijqrm-11-2017-0239. Acesso em: 06 out. 2024.
    • APA

      Oprime, P. C., Lizarelli, F. L., Pimenta, M. L., & Achcar, J. A. (2019). Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach. International Journal of Quality and Reliability Management, 36( 6), 875-894. doi:10.1108/ijqrm-11-2017-0239
    • NLM

      Oprime PC, Lizarelli FL, Pimenta ML, Achcar JA. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach [Internet]. International Journal of Quality and Reliability Management. 2019 ; 36( 6): 875-894.[citado 2024 out. 06 ] Available from: https://doi.org/10.1108/ijqrm-11-2017-0239
    • Vancouver

      Oprime PC, Lizarelli FL, Pimenta ML, Achcar JA. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach [Internet]. International Journal of Quality and Reliability Management. 2019 ; 36( 6): 875-894.[citado 2024 out. 06 ] Available from: https://doi.org/10.1108/ijqrm-11-2017-0239
  • Source: R : a language and environment for statistical computing. R development core team. Unidade: FMRP

    Subjects: DISTRIBUIÇÃO BINOMIAL, ESTATÍSTICA COMPUTACIONAL, PROBABILIDADE APLICADA

    How to cite
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    • ABNT

      OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Basu-Dhar bivariate geometric distribution. R : a language and environment for statistical computing. R development core team. Tradução . Vienna: R Foundation for Statistical Computing, 2018. . . Acesso em: 06 out. 2024.
    • APA

      Oliveira, R. P. de, & Achcar, J. A. (2018). Basu-Dhar bivariate geometric distribution. In R : a language and environment for statistical computing. R development core team. Vienna: R Foundation for Statistical Computing.
    • NLM

      Oliveira RP de, Achcar JA. Basu-Dhar bivariate geometric distribution. In: R : a language and environment for statistical computing. R development core team. Vienna: R Foundation for Statistical Computing; 2018. [citado 2024 out. 06 ]
    • Vancouver

      Oliveira RP de, Achcar JA. Basu-Dhar bivariate geometric distribution. In: R : a language and environment for statistical computing. R development core team. Vienna: R Foundation for Statistical Computing; 2018. [citado 2024 out. 06 ]

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