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Artigo de periodico
The odd Birnbaum–Saunders regression model with applications to lifetime data (2016)
Ortega, Edwin Moises Marcos ; Lemonte, Artur J; Cordeiro, Gauss M; Cruz, José Nilton da
Source: Journal of Statistical Theory and Practice. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos et al. The odd Birnbaum–Saunders regression model with applications to lifetime data. Journal of Statistical Theory and Practice, v. 10, n. 4, p. 780-804, 2016Tradução . . Disponível em: https://doi.org/10.1080/15598608.2016.1224746. Acesso em: 08 set. 2024.
APA
Ortega, E. M. M., Lemonte, A. J., Cordeiro, G. M., & Cruz, J. N. da. (2016). The odd Birnbaum–Saunders regression model with applications to lifetime data. Journal of Statistical Theory and Practice, 10( 4), 780-804. doi:10.1080/15598608.2016.1224746
NLM
Ortega EMM, Lemonte AJ, Cordeiro GM, Cruz JN da. The odd Birnbaum–Saunders regression model with applications to lifetime data [Internet]. Journal of Statistical Theory and Practice. 2016 ; 10( 4): 780-804.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/15598608.2016.1224746
Vancouver
Ortega EMM, Lemonte AJ, Cordeiro GM, Cruz JN da. The odd Birnbaum–Saunders regression model with applications to lifetime data [Internet]. Journal of Statistical Theory and Practice. 2016 ; 10( 4): 780-804.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/15598608.2016.1224746
Artigo de periodico
New flexible regression models generated by gamma random variables with censored data (2016)
Hashimoto, Elizabeth M; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos ; Hamedani, G. G
Source: International Journal of Statistics and Probability. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. New flexible regression models generated by gamma random variables with censored data. International Journal of Statistics and Probability, v. 5, n. 3, p. 9-31, 2016Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v5n3p9. Acesso em: 08 set. 2024.
APA
Hashimoto, E. M., Cordeiro, G. M., Ortega, E. M. M., & Hamedani, G. G. (2016). New flexible regression models generated by gamma random variables with censored data. International Journal of Statistics and Probability, 5( 3), 9-31. doi:10.5539/ijsp.v5n3p9
NLM
Hashimoto EM, Cordeiro GM, Ortega EMM, Hamedani GG. New flexible regression models generated by gamma random variables with censored data [Internet]. International Journal of Statistics and Probability. 2016 ; 5( 3): 9-31.[citado 2024 set. 08 ] Available from: https://doi.org/10.5539/ijsp.v5n3p9
Vancouver
Hashimoto EM, Cordeiro GM, Ortega EMM, Hamedani GG. New flexible regression models generated by gamma random variables with censored data [Internet]. International Journal of Statistics and Probability. 2016 ; 5( 3): 9-31.[citado 2024 set. 08 ] Available from: https://doi.org/10.5539/ijsp.v5n3p9
Artigo de periodico
The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis (2016)
Cruz, José Nilton da ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRUZ, José Nilton da e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, v. 86, n. 8, p. 1516-1538-, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1071376. Acesso em: 08 set. 2024.
APA
Cruz, J. N. da, Ortega, E. M. M., & Cordeiro, G. M. (2016). The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, 86( 8), 1516-1538-. doi:10.1080/00949655.2015.1071376
NLM
Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
Vancouver
Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
Artigo de periodico
Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme (2016)
Gallardo Mateluna, Diego Ignacio; Bolfarine, Heleno
Source: SORT - Statistics and Operations Research Transactions. Unidade: IME
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, BIOESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLARDO MATELUNA, Diego Ignacio e BOLFARINE, Heleno. Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme. SORT - Statistics and Operations Research Transactions, v. 40, n. Ja-June 2016, p. 31-54, 2016Tradução . . Disponível em: http://www.raco.cat/index.php/SORT/article/view/310068. Acesso em: 08 set. 2024.
APA
Gallardo Mateluna, D. I., & Bolfarine, H. (2016). Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme. SORT - Statistics and Operations Research Transactions, 40( Ja-June 2016), 31-54. Recuperado de http://www.raco.cat/index.php/SORT/article/view/310068
NLM
Gallardo Mateluna DI, Bolfarine H. Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme [Internet]. SORT - Statistics and Operations Research Transactions. 2016 ; 40( Ja-June 2016): 31-54.[citado 2024 set. 08 ] Available from: http://www.raco.cat/index.php/SORT/article/view/310068
Vancouver
Gallardo Mateluna DI, Bolfarine H. Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme [Internet]. SORT - Statistics and Operations Research Transactions. 2016 ; 40( Ja-June 2016): 31-54.[citado 2024 set. 08 ] Available from: http://www.raco.cat/index.php/SORT/article/view/310068
Artigo de periodico
A new log-location regression model: estimation, influence diagnostics and residual analysis (2016)
Pescim, Rodrigo R; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Alizadeh, Morad
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESCIM, Rodrigo R et al. A new log-location regression model: estimation, influence diagnostics and residual analysis. Journal of Applied Statistics, v. 44, n. 2, p. 233-252, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1168368. Acesso em: 08 set. 2024.
APA
Pescim, R. R., Ortega, E. M. M., Cordeiro, G. M., & Alizadeh, M. (2016). A new log-location regression model: estimation, influence diagnostics and residual analysis. Journal of Applied Statistics, 44( 2), 233-252. doi:10.1080/02664763.2016.1168368
NLM
Pescim RR, Ortega EMM, Cordeiro GM, Alizadeh M. A new log-location regression model: estimation, influence diagnostics and residual analysis [Internet]. Journal of Applied Statistics. 2016 ; 44( 2): 233-252.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/02664763.2016.1168368
Vancouver
Pescim RR, Ortega EMM, Cordeiro GM, Alizadeh M. A new log-location regression model: estimation, influence diagnostics and residual analysis [Internet]. Journal of Applied Statistics. 2016 ; 44( 2): 233-252.[citado 2024 set. 08 ] Available from: https://doi.org/10.1080/02664763.2016.1168368

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