Problems of identifying time series intervals when predicting the dynamics of the number of infected Covid-19 by statistical methods using the example of Yugra | Zendy

Mikhail G. Korotkov | Zendy; Aleksey A. Petrov | Zendy; Maria V. Kurkina | Zendy

Open Access

Problems of identifying time series intervals when predicting the dynamics of the number of infected Covid-19 by statistical methods using the example of Yugra

Author(s) -

Mikhail G. Korotkov,

Aleksey A. Petrov,

Maria V. Kurkina

Publication year - 2021

Publication title -

yugra state university bulletin

Language(s) - English

Resource type - Journals

eISSN - 2078-9114

pISSN - 1816-9228

DOI - 10.17816/byusu2020370-74

Subject(s) - covid-19 , series (stratigraphy) , time series , coronavirus , interval (graph theory) , statistics , statistical analysis , dynamics (music) , computer science , mathematics , virology , medicine , outbreak , biology , psychology , pathology , paleontology , disease , combinatorics , infectious disease (medical specialty) , pedagogy

The aim of this work is to develop an approach to isolate the data interval for statistical forecasting from the time series of dynamics of new cases of coronavirus infection in the Yugra of the number of COVID-19 infected in the spring-summer of 2020.

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