A new family of quantile regression models applied to nutritional data (2024)
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
ABNT
OLMOS, Isaac Esteban Cortés e CASTRO, Mário de e MATELUNA, Diego Ignacio Gallardo. A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, v. 51, n. 7, p. 1378-1398, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2203882. Acesso em: 06 nov. 2024.APA
Olmos, I. E. C., Castro, M. de, & Mateluna, D. I. G. (2024). A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, 51( 7), 1378-1398. doi:10.1080/02664763.2023.2203882NLM
Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/02664763.2023.2203882Vancouver
Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/02664763.2023.2203882