Different inference approaches for the estimators of the sushila distribution (2021)
Source: Model Assisted Statistics and Applications. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MÍNIMOS QUADRADOS
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: 23 ago. 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-210539NLM
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 ago. 23 ] Available from: https://doi.org/10.3233/MAS-210539Vancouver
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 ago. 23 ] Available from: https://doi.org/10.3233/MAS-210539