ReP USP - Resultado da busca

Filtros : "Barriga, Gladys D. C" "Reino Unido" Limpar

Filtros

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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1080/03610926.2015.1053945
Artigo de periodico
A New lifetime model for multivariate survival data with a surviving fraction (2016)
Cancho, Vicente Garibay ; Louzada, Francisco ; Dey, Dipak K.; Barriga, Gladys D. C
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, v. 86, n. 2, p. 279-292, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1007983. Acesso em: 03 nov. 2024.
APA
Cancho, V. G., Louzada, F., Dey, D. K., & Barriga, G. D. C. (2016). A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, 86( 2), 279-292. doi:10.1080/00949655.2015.1007983
NLM
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
Vancouver
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1080/00949655.2015.1007983

Biblioteca Digital de Produção Intelectual da Universidade de São Paulo 2012 - 2024