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Filtros : "Indexado no Mathematical Reviews" "Barriga, Gladys D. C" Limpar

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Artigo de periodico
A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics (2017)
Suzuki, Adriano Kamimura ; Barriga, Gladys D. C; Louzada, Francisco ; Cancho, Vicente Garibay
Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SUZUKI, Adriano Kamimura et al. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, v. 46, n. 6, p. 3080-3098, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1053945. Acesso em: 02 out. 2024.
APA
Suzuki, A. K., Barriga, G. D. C., Louzada, F., & Cancho, V. G. (2017). A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, 46( 6), 3080-3098. doi:10.1080/03610926.2015.1053945
NLM
Suzuki AK, Barriga GDC, Louzada F, Cancho VG. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 6): 3080-3098.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610926.2015.1053945
Vancouver
Suzuki AK, Barriga GDC, Louzada F, Cancho VG. A general long-term aging model with different underlying activation mechanism: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 6): 3080-3098.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610926.2015.1053945
Artigo de periodico
The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic (2014)
Barriga, Gladys D. C; Louzada, Francisco
Fonte: Statistical Methodology. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys D. C e LOUZADA, Francisco. The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic. Statistical Methodology, v. 21, p. 23-34, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.stamet.2013.11.003. Acesso em: 02 out. 2024.
APA
Barriga, G. D. C., & Louzada, F. (2014). The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic. Statistical Methodology, 21, 23-34. doi:10.1016/j.stamet.2013.11.003
NLM
Barriga GDC, Louzada F. The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic [Internet]. Statistical Methodology. 2014 ; 21 23-34.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.stamet.2013.11.003
Vancouver
Barriga GDC, Louzada F. The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic [Internet]. Statistical Methodology. 2014 ; 21 23-34.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.stamet.2013.11.003

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