Oliveira, Ricardo Puziol de; Peres, Marcos Vinícius de Oliveira; Santos, Milene Regina dos 
; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Source: Statistics, Optimization & Information Computing. Unidades: FMRP, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, TAXA DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE)
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OLIVEIRA, Ricardo Puziol de et al. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods. Statistics, Optimization & Information Computing, v. 9, n. 3, p. 529-554, 2021Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1240. Acesso em: 02 out. 2024.APA
Oliveira, R. P. de, Peres, M. V. de O., Santos, M. R. dos, Martinez, E. Z., & Achcar, J. A. (2021). A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods. Statistics, Optimization & Information Computing, 9( 3), 529-554. doi:10.19139/soic-2310-5070-1240NLM
Oliveira RP de, Peres MV de O, Santos MR dos, Martinez EZ, Achcar JA. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 529-554.[citado 2024 out. 02 ] Available from: https://doi.org/10.19139/soic-2310-5070-1240Vancouver
Oliveira RP de, Peres MV de O, Santos MR dos, Martinez EZ, Achcar JA. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 529-554.[citado 2024 out. 02 ] Available from: https://doi.org/10.19139/soic-2310-5070-1240
