Modified exponential time series model with prediction of total COVID-19 cases in Belgium, Czech Republic, Poland and Switzerland
The coronavirus (COVID-19) pandemic affected every country worldwide. In particular, outbreaks in Belgium, the Czech Republic, Poland and Switzerland entered the second wave and was exponentially increasing between July and November, 2020. The aims of the study are: to estimate the compound growth rate, to develop a modified exponential time-series model compared with the hyperbolic time-series model, and to estimate the optimal parameters for the models based on the exponential least-squares, three selected points, partial-sums methods, and the hyperbolic least-squares for the daily COVID-19... Mehr ...
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Dokumenttyp: | doc-type:article |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
Warsaw: Sciendo
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Schlagwörter: | ddc:519 / COVID-19 / modified exponential time-series model / method of parameter estimation / compound growth rate |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28555663 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://hdl.handle.net/10419/266326 |