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

	Comparison of COVID-19 data analysis between classical dependencies and correlations via copulas
International Journal of Nonlinear Analysis and Applications
دوره 12، Special Issue، اسفند 2021، صفحه 2257-2264 اصل مقاله (457.31 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.6196
نویسندگان
Ahmed Aladilee؛ Hiba Abbas AL-Asadi^*
Department of Mathematics, Faculty of Education, University of Kufa, Iraq
چکیده
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.
کلیدواژه‌ها
Statistical inferences؛ Probability concepts؛ Correlation coefficients؛ Copula functions؛ Data analysis
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