COVID-19 Pandemic Course 2020–2022: Description by Methods of Mathematical Statistics and Discrete Mathematical Analysis
The paper describes the course of the COVID-19 pandemic using a combination of mathematical statistics and discrete mathematical analysis (DMA) methods. The method of regression derivatives and FCARS algorithm as components of DMA will be for the first time tested outside of geophysics problems. The...
Saved in:
Main Authors: | Gvishiani Alexei, Odintsova Anastasiya, Rovenskaya Elena, Boyarshinov Grigory, Belov Ivan, Dobrovolsky Michael |
---|---|
Format: | Article |
Language: | English |
Published: |
Russian Academy of Sciences, The Geophysical Center
2023-06-01
|
Series: | Russian Journal of Earth Sciences |
Subjects: | |
Online Access: | http://doi.org/10.2205/2023ES000839 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and verification of a DMA controller based on the ICB bus
by: Su Xing, et al.
Published: (2024-01-01) -
Interfacial toughening and consequent improvement in fracture toughness of carbon fiber reinforced epoxy resin composites: induced by diblock copolymers
by: X. D. Zhou, et al.
Published: (2013-11-01) -
Speech as "Hybrid Warfare"
by: Vincenzo Zeno-Zencovich
Published: (2025-06-01) -
Assessment of Total Mercury in Public Drinking Water: A Case Study of Sana’a City, Yemen
by: Abdulqawi A. Numan, et al.
Published: (2025-06-01) -
Effects of Gamma Irradiation on Solid Propellant Conventional and UV-Cured Binders
by: Stefania Carlotti, et al.
Published: (2025-05-01)