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Filtros : "Model Assisted Statistics and Applications" "ICMC" Limpar

Filtros

USP affiliated authors
- achcar, jorge alberto (~1)
- cancho, vicente garibay (~1)
- martinez, edson zangiacomi (~1)
- peres, marcos vinicius de oliveira (~1)
- suzuki, adriano kamimura (~1)
Date published
- 2021 (~1)
- 2020 (~1)
Subjects
- inferência bayesiana (2)
- análise de sobrevivência (1)
- distribuições (probabilidade) (1)
- método de monte carlo (1)
- métodos mcmc (1)

Artigo de periodico
Different inference approaches for the estimators of the sushila distribution (2021)
Peres, Marcos Vinicius de Oliveira; Oliveira, Ricardo Puziol de; Martinez, Edson Zangiacomi; Achcar, Jorge Alberto
Source: Model Assisted Statistics and Applications. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MÍNIMOS QUADRADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERES, Marcos Vinicius de Oliveira et al. Different inference approaches for the estimators of the sushila distribution. Model Assisted Statistics and Applications, v. 16, p. 251-260, 2021Tradução . . Disponível em: https://doi.org/10.3233/MAS-210539. Acesso em: 10 nov. 2024.
APA
Peres, M. V. de O., Oliveira, R. P. de, Martinez, E. Z., & Achcar, J. A. (2021). Different inference approaches for the estimators of the sushila distribution. Model Assisted Statistics and Applications, 16, 251-260. doi:10.3233/MAS-210539
NLM
Peres MV de O, Oliveira RP de, Martinez EZ, Achcar JA. Different inference approaches for the estimators of the sushila distribution [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 251-260.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/MAS-210539
Vancouver
Peres MV de O, Oliveira RP de, Martinez EZ, Achcar JA. Different inference approaches for the estimators of the sushila distribution [Internet]. Model Assisted Statistics and Applications. 2021 ; 16 251-260.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/MAS-210539
Artigo de periodico
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism (2020)
Barriga, Gladys Dorotea Cacsire ; Dey, Dipak Kumar ; Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura
Source: Model Assisted Statistics and Applications. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire et al. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, n. 1, p. 35-51, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190477. Acesso em: 10 nov. 2024.
APA
Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
NLM
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/MAS-190477
Vancouver
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/MAS-190477

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