• Title of article

    Dependence structures of multivariate Bernoulli random vectors

  • Author/Authors

    Hu، نويسنده , , Taizhong and Xie، نويسنده , , Chaode and Ruan، نويسنده , , Lingyan، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2005
  • Pages
    24
  • From page
    172
  • To page
    195
  • Abstract
    In some situations, it is difficult and tedious to check notions of dependence properties and dependence orders for multivariate distributions supported on a finite lattice. The purpose of this paper is to utilize a newly developed tool, majorization with respect to weighted trees, to lay out some general results that can be used to identify some dependence properties and dependence orders for multivariate Bernoulli random vectors. Such a study gives us some new insight into the relations between the concepts of dependence.
  • Keywords
    Positively (negatively) supermodular dependent , Concordance order , Majorization with respect to weighted trees , Strongly positive (negative) orthant dependent , Probability trees , Weakly positive (negatively) associated , Supermodular order , Positive (negative) orthant dependent
  • Journal title
    Journal of Multivariate Analysis
  • Serial Year
    2005
  • Journal title
    Journal of Multivariate Analysis
  • Record number

    1558170