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Artigo de periodico
The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate (2020)
Louzada, Francisco ; Cancho, Vicente Garibay ; Ferreira, Paulo Henrique
Fonte: Journal of Statistical Theory and Applications. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e CANCHO, Vicente Garibay e FERREIRA, Paulo Henrique. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate. Journal of Statistical Theory and Applications, v. 19, n. 2, p. 274-285, 2020Tradução . . Disponível em: https://doi.org/10.2991/jsta.d.200512.002. Acesso em: 23 nov. 2025.
APA
Louzada, F., Cancho, V. G., & Ferreira, P. H. (2020). The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate. Journal of Statistical Theory and Applications, 19( 2), 274-285. doi:10.2991/jsta.d.200512.002
NLM
Louzada F, Cancho VG, Ferreira PH. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate [Internet]. Journal of Statistical Theory and Applications. 2020 ; 19( 2): 274-285.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.d.200512.002
Vancouver
Louzada F, Cancho VG, Ferreira PH. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate [Internet]. Journal of Statistical Theory and Applications. 2020 ; 19( 2): 274-285.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.d.200512.002
Artigo de periodico
The odd log-logistic geometric family with applications in regression models with varying dispersion (2019)
Lima, Maria do Carmo S; Prataviera, Fábio ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Maria do Carmo S et al. The odd log-logistic geometric family with applications in regression models with varying dispersion. Journal of Statistical Theory and Applications, v. 18, n. 3, p. 278–294, 2019Tradução . . Disponível em: https://doi.org/10.2991/jsta.d.190818.003. Acesso em: 23 nov. 2025.
APA
Lima, M. do C. S., Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2019). The odd log-logistic geometric family with applications in regression models with varying dispersion. Journal of Statistical Theory and Applications, 18( 3), 278–294. doi:10.2991/jsta.d.190818.003
NLM
Lima M do CS, Prataviera F, Ortega EMM, Cordeiro GM. The odd log-logistic geometric family with applications in regression models with varying dispersion [Internet]. Journal of Statistical Theory and Applications. 2019 ; 18( 3): 278–294.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.d.190818.003
Vancouver
Lima M do CS, Prataviera F, Ortega EMM, Cordeiro GM. The odd log-logistic geometric family with applications in regression models with varying dispersion [Internet]. Journal of Statistical Theory and Applications. 2019 ; 18( 3): 278–294.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.d.190818.003
Artigo de periodico
The new family of distributions and applications in heteroscedastic regression analysis (2017)
Cordeiro, Gauss M; Ramires, Thiago G; Ortega, Edwin Moises Marcos; Alizadeh, Morad
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), HETEROSCEDASTICIDADE, MÉTODO DE CAUCHY, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. The new family of distributions and applications in heteroscedastic regression analysis. Journal of Statistical Theory and Applications, v. 16, n. 3, p. 401-418, 2017Tradução . . Disponível em: https://doi.org/10.2991/jsta.2017.16.3.11. Acesso em: 23 nov. 2025.
APA
Cordeiro, G. M., Ramires, T. G., Ortega, E. M. M., & Alizadeh, M. (2017). The new family of distributions and applications in heteroscedastic regression analysis. Journal of Statistical Theory and Applications, 16( 3), 401-418. doi:10.2991/jsta.2017.16.3.11
NLM
Cordeiro GM, Ramires TG, Ortega EMM, Alizadeh M. The new family of distributions and applications in heteroscedastic regression analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 3): 401-418.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2017.16.3.11
Vancouver
Cordeiro GM, Ramires TG, Ortega EMM, Alizadeh M. The new family of distributions and applications in heteroscedastic regression analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 3): 401-418.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2017.16.3.11
Artigo de periodico
The Log-gamma-logistic regression model: estimation, sensibility and residual analysis (2017)
Hashimoto, Elizabeth M; Edwin Moises Marcos Ortega ; Cordeiro, Gauss M; Hamedani, G. G
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, v. 16, n. 4, p. 547-564, 2017Tradução . . Disponível em: https://www.atlantis-press.com/journals/jsta/25887941. Acesso em: 23 nov. 2025.
APA
Hashimoto, E. M., Edwin Moises Marcos Ortega,, Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, 16( 4), 547-564. Recuperado de https://www.atlantis-press.com/journals/jsta/25887941
NLM
Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2025 nov. 23 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
Vancouver
Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2025 nov. 23 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
Artigo de periodico
The Log-gamma-logistic regression model: estimation, sensibility and residual analysis (2017)
Hashimoto, Elizabeth M; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Hamedani, G.G
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, v. 16, n. 4, p. 547–564, 2017Tradução . . Disponível em: https://doi.org/10.2991/jsta.2017.16.4.9. Acesso em: 23 nov. 2025.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, 16( 4), 547–564. doi:10.2991/jsta.2017.16.4.9
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547–564.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2017.16.4.9
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547–564.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2017.16.4.9
Artigo de periodico
Some new results for the Kumaraswamy modified weibull distribution (2014)
Cordeiro, Gauss Moutinho ; Braga Junior, Antonio Carlos Rodrigo; Demetrio, Clarice Garcia Borges ; Ortega, Edwin Moises Marcos ; Pescim, Rodrigo Rossetto
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho et al. Some new results for the Kumaraswamy modified weibull distribution. Journal of Statistical Theory and Applications, v. 84, n. 7, p. 1387-1411, 2014Tradução . . Disponível em: https://doi.org/10.2991/jsta.2014.13.1.8. Acesso em: 23 nov. 2025.
APA
Cordeiro, G. M., Braga Junior, A. C. R., Demetrio, C. G. B., Ortega, E. M. M., & Pescim, R. R. (2014). Some new results for the Kumaraswamy modified weibull distribution. Journal of Statistical Theory and Applications, 84( 7), 1387-1411. doi:10.2991/jsta.2014.13.1.8
NLM
Cordeiro GM, Braga Junior ACR, Demetrio CGB, Ortega EMM, Pescim RR. Some new results for the Kumaraswamy modified weibull distribution [Internet]. Journal of Statistical Theory and Applications. 2014 ; 84( 7): 1387-1411.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2014.13.1.8
Vancouver
Cordeiro GM, Braga Junior ACR, Demetrio CGB, Ortega EMM, Pescim RR. Some new results for the Kumaraswamy modified weibull distribution [Internet]. Journal of Statistical Theory and Applications. 2014 ; 84( 7): 1387-1411.[citado 2025 nov. 23 ] Available from: https://doi.org/10.2991/jsta.2014.13.1.8
Artigo de periodico
The Kumaraswamy-Log-logistic distribution (2012)
Santana, Tiago Viana Flor de; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M ; Silva, Giovana O
Fonte: Journal of Statistical Theory and Applications. Unidade: ESALQ
Assuntos: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTANA, Tiago Viana Flor de et al. The Kumaraswamy-Log-logistic distribution. Journal of Statistical Theory and Applications, v. 11, n. 3, p. 265-291, 2012Tradução . . Disponível em: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf. Acesso em: 23 nov. 2025.
APA
Santana, T. V. F. de, Ortega, E. M. M., Cordeiro, G. M., & Silva, G. O. (2012). The Kumaraswamy-Log-logistic distribution. Journal of Statistical Theory and Applications, 11( 3), 265-291. Recuperado de http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf
NLM
Santana TVF de, Ortega EMM, Cordeiro GM, Silva GO. The Kumaraswamy-Log-logistic distribution [Internet]. Journal of Statistical Theory and Applications. 2012 ; 11( 3): 265-291.[citado 2025 nov. 23 ] Available from: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf
Vancouver
Santana TVF de, Ortega EMM, Cordeiro GM, Silva GO. The Kumaraswamy-Log-logistic distribution [Internet]. Journal of Statistical Theory and Applications. 2012 ; 11( 3): 265-291.[citado 2025 nov. 23 ] Available from: http://www.mscs.mu.edu/~jsta/issues/11(3)/JSTA11(3)p4.pdf

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