Granzotto, Daniele C. T; Ferreira, Paulo H.; Louzada, Francisco 
Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA E PROBABILIDADE, MODELOS NÃO LINEARES, LOGÍSTICA, MODELOS MATEMÁTICOS, DADOS CENSURADOS
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GRANZOTTO, Daniele C. T e FERREIRA, Paulo H. e LOUZADA, Francisco. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, v. 48, n. 7, p. 1798-1813, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1440313. Acesso em: 12 nov. 2025.APA
Granzotto, D. C. T., Ferreira, P. H., & Louzada, F. (2019). Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, 48( 7), 1798-1813. doi:10.1080/03610926.2018.1440313NLM
Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610926.2018.1440313Vancouver
Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
