Filtros : "Pakistan Journal of Statistics and Operation Research" Removido: "ANÁLISE DE DADOS" Limpar

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  • Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP

    Assuntos: INFERÊNCIA BAYESIANA, COEFICIENTES BINÔMIOS, AMOSTRAGEM

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    • ABNT

      ACHCAR, Jorge Alberto e BARILI, Emerson. Sample size determination when the parameter of interest is the coefficient of variation under normality for the data. Pakistan Journal of Statistics and Operation Research, v. 20, n. 2, p. 157-170, 2024Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v20i2.4240. Acesso em: 07 out. 2025.
    • APA

      Achcar, J. A., & Barili, E. (2024). Sample size determination when the parameter of interest is the coefficient of variation under normality for the data. Pakistan Journal of Statistics and Operation Research, 20( 2), 157-170. doi:10.18187/pjsor.v20i2.4240
    • NLM

      Achcar JA, Barili E. Sample size determination when the parameter of interest is the coefficient of variation under normality for the data [Internet]. Pakistan Journal of Statistics and Operation Research. 2024 ; 20( 2): 157-170.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v20i2.4240
    • Vancouver

      Achcar JA, Barili E. Sample size determination when the parameter of interest is the coefficient of variation under normality for the data [Internet]. Pakistan Journal of Statistics and Operation Research. 2024 ; 20( 2): 157-170.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v20i2.4240
  • Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP

    Assuntos: ESTUDOS ECOLÓGICOS, EPIDEMIOLOGIA, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      MARTINEZ, Edson Zangiacomi et al. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil. Pakistan Journal of Statistics and Operation Research, v. 18, n. 4, p. 775-788, 2022Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v18i4.4095. Acesso em: 07 out. 2025.
    • APA

      Martinez, E. Z., Silva, D. G., Resende, L. I., Lizzi, E. A. da S., & Achcar, J. A. (2022). Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil. Pakistan Journal of Statistics and Operation Research, 18( 4), 775-788. doi:10.18187/pjsor.v18i4.4095
    • NLM

      Martinez EZ, Silva DG, Resende LI, Lizzi EA da S, Achcar JA. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 4): 775-788.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v18i4.4095
    • Vancouver

      Martinez EZ, Silva DG, Resende LI, Lizzi EA da S, Achcar JA. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 4): 775-788.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v18i4.4095
  • Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP

    Assuntos: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA

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    • ABNT

      FREITAS, Bruno Caparroz Lopes de et al. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction. Pakistan Journal of Statistics and Operation Research, v. 17, n. 2, p. 467-481, 2021Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v17i2.3693. Acesso em: 07 out. 2025.
    • APA

      Freitas, B. C. L. de, Martinez, E. Z., Achcar, J. A., & Peres, M. V. de O. (2021). Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction. Pakistan Journal of Statistics and Operation Research, 17( 2), 467-481. doi:10.18187/pjsor.v17i2.3693
    • NLM

      Freitas BCL de, Martinez EZ, Achcar JA, Peres MV de O. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction [Internet]. Pakistan Journal of Statistics and Operation Research. 2021 ; 17( 2): 467-481.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v17i2.3693
    • Vancouver

      Freitas BCL de, Martinez EZ, Achcar JA, Peres MV de O. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction [Internet]. Pakistan Journal of Statistics and Operation Research. 2021 ; 17( 2): 467-481.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v17i2.3693
  • Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: ICMC

    Assuntos: PROBABILIDADE, INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      CORDEIRO, Gauss M et al. An extended BURR XII distribution: properties, inference and applications. Pakistan Journal of Statistics and Operation Research, v. 13, n. 4, p. 809-828, 2017Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v13i4.1965. Acesso em: 07 out. 2025.
    • APA

      Cordeiro, G. M., Mead, M. E., Afify, A. Z., Suzuki, A. K., & El-Gaied, A. A. K. A. (2017). An extended BURR XII distribution: properties, inference and applications. Pakistan Journal of Statistics and Operation Research, 13( 4), 809-828. doi:10.18187/pjsor.v13i4.1965
    • NLM

      Cordeiro GM, Mead ME, Afify AZ, Suzuki AK, El-Gaied AAKA. An extended BURR XII distribution: properties, inference and applications [Internet]. Pakistan Journal of Statistics and Operation Research. 2017 ; 13( 4): 809-828.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v13i4.1965
    • Vancouver

      Cordeiro GM, Mead ME, Afify AZ, Suzuki AK, El-Gaied AAKA. An extended BURR XII distribution: properties, inference and applications [Internet]. Pakistan Journal of Statistics and Operation Research. 2017 ; 13( 4): 809-828.[citado 2025 out. 07 ] Available from: https://doi.org/10.18187/pjsor.v13i4.1965
  • Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: ESALQ

    Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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    • ABNT

      CORDEIRO, Gauss M et al. The McDonald normal distribution. Pakistan Journal of Statistics and Operation Research, v. 8, n. 3, p. 301-329, 2012Tradução . . Disponível em: https://pjsor.com/pjsor/article/view/510/276. Acesso em: 07 out. 2025.
    • APA

      Cordeiro, G. M., Cintra, R. J., Rêgo, L. C., & Ortega, E. M. M. (2012). The McDonald normal distribution. Pakistan Journal of Statistics and Operation Research, 8( 3), 301-329. Recuperado de https://pjsor.com/pjsor/article/view/510/276
    • NLM

      Cordeiro GM, Cintra RJ, Rêgo LC, Ortega EMM. The McDonald normal distribution [Internet]. Pakistan Journal of Statistics and Operation Research. 2012 ; 8( 3): 301-329.[citado 2025 out. 07 ] Available from: https://pjsor.com/pjsor/article/view/510/276
    • Vancouver

      Cordeiro GM, Cintra RJ, Rêgo LC, Ortega EMM. The McDonald normal distribution [Internet]. Pakistan Journal of Statistics and Operation Research. 2012 ; 8( 3): 301-329.[citado 2025 out. 07 ] Available from: https://pjsor.com/pjsor/article/view/510/276

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