Author: Igor Nesteruk
Title: Long-term predictions for COVID-19 pandemic dynamics in Ukraine, Austria and Italy Document date: 2020_4_11
ID: hmem8se3_18
Snippet: for every fixed values N and ï® with the use of (6) and then to check how the registered points fit the straight line (5) . For this purpose the linear regression can be used, e.g., [13] , and the optimal straight line, minimizing the sum of squared distances between registered and theoretical points, can be defined. Thus we can find the optimal values of ï¡ , 0 t and calculate the correlation coefficient r ......
Document: for every fixed values N and ï® with the use of (6) and then to check how the registered points fit the straight line (5) . For this purpose the linear regression can be used, e.g., [13] , and the optimal straight line, minimizing the sum of squared distances between registered and theoretical points, can be defined. Thus we can find the optimal values of ï¡ , 0 t and calculate the correlation coefficient r .
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