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
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