• Title of article

    A new index to measure positive dependence in trivariate distributions

  • Author/Authors

    Garcيa، نويسنده , , Jesْs E. and Gonzلlez-Lَpez، نويسنده , , V.A. and Nelsen، نويسنده , , R.B.، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2013
  • Pages
    15
  • From page
    481
  • To page
    495
  • Abstract
    We introduce a new index to detect dependence in trivariate distributions. The index is based on the maximization of the coefficients of directional dependence over the set of directions. We show how to calculate the index using the three pairwise Spearman’s rho coefficients and the three common 3-dimensional versions of Spearman’s rho. We obtain the asymptotic distributions of the empirical processes related to the estimators of the coefficients of directional dependence and also we derive the asymptotic distribution of our index. We display examples where the index identifies dependence undetected by the aforementioned 3-dimensional versions of Spearman’s rho. The value of the new index and the direction in which the maximal dependence occurs are easily computed and we illustrate with a simulation study and a real data set.
  • Keywords
    Measure of association , Directional dependence , Copula
  • Journal title
    Journal of Multivariate Analysis
  • Serial Year
    2013
  • Journal title
    Journal of Multivariate Analysis
  • Record number

    1566166