Title of article :
Comparison of COVID-19 data analysis between classical dependencies and correlations via copulas
Author/Authors :
AL-Adilee, Ahmed Department of Mathematics - Faculty of Education - University of Kufa, Iraq , AL-Asadi, Hiba Abbas Department of Mathematics - Faculty of Education - University of Kufa, Iraq
Abstract :
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.
Keywords :
Statistical inferences , Probability concepts , Correlation coefficients , Copula functions , Data analysis
Journal title :
International Journal of Nonlinear Analysis and Applications
