GROEC: combination method via generalized rolling origin evaluation (2020)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.ijforecast.2019.04.013
- Subjects: COMBINATÓRIA; PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
- Keywords: M4 competition; Forecast combination; Theta models; ARIMA models; Exponential smoothing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Forecasting
- ISSN: 0169-2070
- Volume/Número/Paginação/Ano: v. 36, n. 1, p. 105-109, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FIORUCCI, José Augusto e LOUZADA, Francisco. GROEC: combination method via generalized rolling origin evaluation. International Journal of Forecasting, v. 36, n. 1, p. 105-109, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijforecast.2019.04.013. Acesso em: 21 fev. 2026. -
APA
Fiorucci, J. A., & Louzada, F. (2020). GROEC: combination method via generalized rolling origin evaluation. International Journal of Forecasting, 36( 1), 105-109. doi:10.1016/j.ijforecast.2019.04.013 -
NLM
Fiorucci JA, Louzada F. GROEC: combination method via generalized rolling origin evaluation [Internet]. International Journal of Forecasting. 2020 ; 36( 1): 105-109.[citado 2026 fev. 21 ] Available from: https://doi.org/10.1016/j.ijforecast.2019.04.013 -
Vancouver
Fiorucci JA, Louzada F. GROEC: combination method via generalized rolling origin evaluation [Internet]. International Journal of Forecasting. 2020 ; 36( 1): 105-109.[citado 2026 fev. 21 ] Available from: https://doi.org/10.1016/j.ijforecast.2019.04.013 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1016/j.ijforecast.2019.04.013 (Fonte: oaDOI API)
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