Geometric interpretation of the residual dependence coefficient

  • Authors:
  • Natalia Nolde

  • Affiliations:
  • -

  • Venue:
  • Journal of Multivariate Analysis
  • Year:
  • 2014

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Abstract

The residual dependence coefficient was originally introduced by Ledford and Tawn (1996) [25] as a measure of residual dependence between extreme values in the presence of asymptotic independence. We present a geometric interpretation of this coefficient with the additional assumptions that the random samples from a given distribution can be scaled to converge onto a limit set and that the marginal distributions have Weibull-type tails. This result leads to simple and intuitive computations of the residual dependence coefficient for a variety of distributions.