Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, CLIMATOLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), ETANOL, INFERÊNCIA SEMIPARAMÉTRICA, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, QUALIDADE DO AR
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VASCONCELOS, Julio Cezar Souza e CORDEIRO, Gauss Moutinho e ORTEGA, Edwin Moises Marcos. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1803812. Acesso em: 03 nov. 2024.APA
Vasconcelos, J. C. S., Cordeiro, G. M., & Ortega, E. M. M. (2020). The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, 1-20. doi:10.1080/02664763.2020.1803812NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1080/02664763.2020.1803812Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1080/02664763.2020.1803812