• 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

  • Pages
    8
  • From page
    2257
  • To page
    2264
  • 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
  • Serial Year
    2021
  • Record number

    2731688

    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=2731688