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Filtros : "influential observations" Limpar

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  • Artigo de periodico

    Bayesian influence diagnostics using normalized functional Bregman divergence (2022)

    Danilevicz, Ian Meneghel ; Ehlers, Ricardo Sandes

    Source: Communications in Statistics : Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, CADEIAS DE MARKOV, MÉTODO DE MONTE CARLO

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      DANILEVICZ, Ian Meneghel e EHLERS, Ricardo Sandes. Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods, v. 51, n. 6, p. 1637–1652, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1764583. Acesso em: 25 jan. 2026.

    • APA

      Danilevicz, I. M., & Ehlers, R. S. (2022). Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods, 51( 6), 1637–1652. doi:10.1080/03610926.2020.1764583

    • NLM

      Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2022 ; 51( 6): 1637–1652.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/03610926.2020.1764583

    • Vancouver

      Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2022 ; 51( 6): 1637–1652.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/03610926.2020.1764583

  • Artigo de periodico

    Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach (2017)

    Lachos, Víctor H.; Dey, Dipak K; Cancho, Vicente Garibay ; Louzada, Francisco

    Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      LACHOS, Víctor H. et al. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, v. 87, n. 10, p. 2002-2022, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1306860. Acesso em: 25 jan. 2026.

    • APA

      Lachos, V. H., Dey, D. K., Cancho, V. G., & Louzada, F. (2017). Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, 87( 10), 2002-2022. doi:10.1080/00949655.2017.1306860

    • NLM

      Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/00949655.2017.1306860

    • Vancouver

      Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
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