Comparison of COVID-19 data analysis between classical dependencies and correlations via copulas

Document Type : Research Paper


Department of Mathematics, Faculty of Education, University of Kufa, Iraq


In this paper, we analyze the covid-19 data set in two ways, The first one depends on the calculation of correlation coefficient via classical mathematical representation. And the second way of analysis depends on modern technique which is associated with copula function concepts and its relationship to measures of association. Afterwards, we compare the obtained results to decide far which is better in an analysis of the examined dataset.