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 
Fonte: Model Assisted Statistics and Applications. Unidades: ICMC, FMRP
Assuntos: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MÍNIMOS QUADRADOS
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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: 18 nov. 2025.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 2025 nov. 18 ] 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 2025 nov. 18 ] Available from: https://doi.org/10.3233/MAS-210539
