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https://elib.bsu.by/handle/123456789/288487| Title: | Statistical analysis and econometric modeling of the COVID-19 pandemic |
| Authors: | Malugin, V. I. Kornievich, A. K. Potapovich, V. A. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2022 |
| Publisher: | Минск : БГУ |
| Citation: | Информационные системы и технологии = Information Systems and Technologies : материалы междунар. науч. конгресса по информатике. В 3 ч. Ч. 1, Респ. Беларусь, Минск, 27–28 окт. 2022 г. / Белорус. гос. ун-т ; редкол.: С. В. Абламейко (гл. ред.) [и др.]. – Минск : БГУ, 2022. – С. 137-143. |
| Abstract: | This paper presents the results of solving the following tasks: development of statistical methods for classifying countries in the European Region by the intensity of the COVID-19 pandemic; building country ratings that characterize the intensity of the pandemic; assessment of the relationship of country ratings with the economic indicators of countries; development of econometric models of the epidemic process in the Republic of Belarus |
| URI: | https://elib.bsu.by/handle/123456789/288487 |
| ISBN: | 978-985-881-424-3 (ч. 1); ISBN 978-985-881-427-4 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2022. Информационные системы и технологии |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 137-143.pdf | 317,99 kB | Adobe PDF | View/Open |
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