Abstract
We explore an idea of transferring some classic measures of global dependence between random variables X1,X2,…,Xn into cumulative measures of dependence relative at any point (X1,X2,…,Xn) in the sample space. It allows studying the behavior of these measures throughout the sample space, and better understanding and use of dependence. Some examples on popular copula distributions are also provided.
Original language | American English |
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Journal | Applied Mathematics |
Volume | 5 |
DOIs | |
State | Published - Mar 1 2014 |
Keywords
- Analysis of Variance
- Copula
- Correlation
- Covariance
- Multivariate Analysis
- Measures of Dependence
- Probability Modeling
Disciplines
- Mathematics