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
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
Journal title :
Journal of Multivariate Analysis