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Filtros : "Log-logistic distribution" Limpar

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Artigo de periodico
Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data (2019)
Granzotto, Daniele C. T; Ferreira, Paulo H.; Louzada, Francisco
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA E PROBABILIDADE, MODELOS NÃO LINEARES, LOGÍSTICA, MODELOS MATEMÁTICOS, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 28 jan. 2026.
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:10.1080/03610926.2018.1440313
NLM
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 2026 jan. 28 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
Vancouver
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 2026 jan. 28 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
Artigo de periodico
The transmuted log-logistic regression model: a new model for time up to first calving of cows (2016)
Louzada, Francisco ; Granzotto, Daniele C. T
Source: Statistical Papers. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e GRANZOTTO, Daniele C. T. The transmuted log-logistic regression model: a new model for time up to first calving of cows. Statistical Papers, v. 57, n. 3, p. 623-640, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00362-015-0671-5. Acesso em: 28 jan. 2026.
APA
Louzada, F., & Granzotto, D. C. T. (2016). The transmuted log-logistic regression model: a new model for time up to first calving of cows. Statistical Papers, 57( 3), 623-640. doi:10.1007/s00362-015-0671-5
NLM
Louzada F, Granzotto DCT. The transmuted log-logistic regression model: a new model for time up to first calving of cows [Internet]. Statistical Papers. 2016 ; 57( 3): 623-640.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1007/s00362-015-0671-5
Vancouver
Louzada F, Granzotto DCT. The transmuted log-logistic regression model: a new model for time up to first calving of cows [Internet]. Statistical Papers. 2016 ; 57( 3): 623-640.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1007/s00362-015-0671-5

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