Cargando…
Forecasting on Covid-19 infection waves using a rough set filter driven moving average models
The pandemic outbreak of severe acute respiratory syndrome caused by the Coronavirus 2 disease in 2019, also known as SARS-COV-2 and COVID-19, has claimed over 5.6 million lives till now. The highly infectious nature of the Covid-19 virus has resulted into multiple massive upsurges in counts of new...
Autores principales: | Srivastava, Saurabh Ranjan, Meena, Yogesh Kumar, Singh, Girdhari |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628244/ https://www.ncbi.nlm.nih.gov/pubmed/36345324 http://dx.doi.org/10.1016/j.asoc.2022.109750 |
Ejemplares similares
-
Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and naïve forecasting methods
por: Lynch, Christopher J., et al.
Publicado: (2021) -
Modified Moving Average T-wave alternans cutpoints
por: Verrier, Richard L.
Publicado: (2021) -
Future Trend Forecast by Empirical Wavelet Transform and Autoregressive Moving Average
por: Wang, Qiusheng, et al.
Publicado: (2018) -
Extended Kalman filter algorithm for non-roughness and moving damage identification
por: Ding, Hong-li, et al.
Publicado: (2022) -
A fractionally integrated autoregressive moving average approach to forecasting tourism demand
por: Chu, Fong-Lin
Publicado: (2008)