Vasconcelos, Julio Cezar Souza 
; Cordeiro, Gauss Moutinho; Ortega, Edwin Moises Marcos ; Ribeiro, João Gabriel
Source: IET Renewable Power Generation. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÃO LOGNORMAL, GERAÇÃO DE ENERGIA ELÉTRICA, MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA
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VASCONCELOS, Julio Cezar Souza et al. A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, v. 15, p. 452–461, 2021Tradução . . Disponível em: https://doi.org/10.1049/rpg2.12043. Acesso em: 27 nov. 2025.APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Ribeiro, J. G. (2021). A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, 15, 452–461. doi:10.1049/rpg2.12043NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/rpg2.12043Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/rpg2.12043
