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Forecasting Covid-19: SARMA-ARCH approach
Forecasting the number of Covid-19 cases is a crucial tool in public health policy. In this paper, we construct seasonal autoregressive moving average and autoregressive conditional heteroscedasticity models to forecast the spread of the infection in the UAE. While most of the existing literature is...
Autores principales: | Kamalov, Firuz, Thabtah, Fadi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370786/ https://www.ncbi.nlm.nih.gov/pubmed/34422542 http://dx.doi.org/10.1007/s12553-021-00587-x |
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