Cargando…
Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect
COVID-19 pandemic has affected more than a hundred fifty million people and killed over three million people worldwide over the past year. During this period, different forecasting models have tried to forecast time path of COVID-19 pandemic. Unlike the COVID-19 forecasting literature based on Autor...
Autor principal: | Ekinci, Aykut |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264537/ https://www.ncbi.nlm.nih.gov/pubmed/34253942 http://dx.doi.org/10.1016/j.chaos.2021.111227 |
Ejemplares similares
-
ARIMA modelling & forecasting of COVID-19 in top five affected countries
por: Sahai, Alok Kumar, et al.
Publicado: (2020) -
Asymmetric affective forecasting errors and their correlation with subjective well-being
por: Bertoni, Marco, et al.
Publicado: (2018) -
Comments on “ARIMA modelling & forecasting of COVID-19 in top five affected countries”(by Sahai et al.)
por: Kufel, Tadeusz, et al.
Publicado: (2020) -
Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement
por: Hwang, Eunju
Publicado: (2022) -
Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models
por: Ilie, Ovidiu-Dumitru, et al.
Publicado: (2020)