Source: Computational and Applied Mathematics. Unidade: IME
Assunto: ANÁLISE DE SÉRIES TEMPORAIS
ABNT
RIBEIRO, Tatiane Fontana et al. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model. Computational and Applied Mathematics, v. 43, n. artigo 27, p. 1-28, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40314-023-02513-5. Acesso em: 04 out. 2024.APA
Ribeiro, T. F., Peña-Ramírez, F. A., Guerra, R. R., Alencar, A. P., & Cordeiro, G. M. (2024). Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model. Computational and Applied Mathematics, 43( artigo 27), 1-28. doi:10.1007/s40314-023-02513-5NLM
Ribeiro TF, Peña-Ramírez FA, Guerra RR, Alencar AP, Cordeiro GM. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model [Internet]. Computational and Applied Mathematics. 2024 ; 43( artigo 27): 1-28.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s40314-023-02513-5Vancouver
Ribeiro TF, Peña-Ramírez FA, Guerra RR, Alencar AP, Cordeiro GM. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model [Internet]. Computational and Applied Mathematics. 2024 ; 43( artigo 27): 1-28.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s40314-023-02513-5