Source: Biometrics and Biostatistics International Journal. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS
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PRATAVIERA, Fábio et al. The odd log-logistic generalized gamma model: properties, applications, classical and bayesian approach. Biometrics and Biostatistics International Journal, v. 6, n. 4, p. 1-19, 2017Tradução . . Disponível em: https://doi.org/10.15406/bbij.2017.06.00174. Acesso em: 14 nov. 2024.APA
Prataviera, F., Cordeiro, G. M., Suzuki, A. K., & Ortega, E. M. M. (2017). The odd log-logistic generalized gamma model: properties, applications, classical and bayesian approach. Biometrics and Biostatistics International Journal, 6( 4), 1-19. doi:10.15406/bbij.2017.06.00174NLM
Prataviera F, Cordeiro GM, Suzuki AK, Ortega EMM. The odd log-logistic generalized gamma model: properties, applications, classical and bayesian approach [Internet]. Biometrics and Biostatistics International Journal. 2017 ; 6( 4): 1-19.[citado 2024 nov. 14 ] Available from: https://doi.org/10.15406/bbij.2017.06.00174Vancouver
Prataviera F, Cordeiro GM, Suzuki AK, Ortega EMM. The odd log-logistic generalized gamma model: properties, applications, classical and bayesian approach [Internet]. Biometrics and Biostatistics International Journal. 2017 ; 6( 4): 1-19.[citado 2024 nov. 14 ] Available from: https://doi.org/10.15406/bbij.2017.06.00174