Dependency measure for sets of random events or random variables
For sets of random events or variables ranging from mutual independence to total dependence we introduce a dependency measure based on a more detailed definition of the independency property. The separating property of that measure allows to order sets of random elements as "more" or as "less" dependent. Related topics are also discussed.
| Year of publication: |
1995
|
|---|---|
| Authors: | Stoyanov, Jordan |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 23.1995, 1, p. 13-20
|
| Publisher: |
Elsevier |
| Keywords: | Mutual and partial independence Total dependence Dependency measure Separating property Ordering |
Saved in:
Saved in favorites
Similar items by person
-
A new proof that the product of three or more exponential random variables is moment-indeterminate
Ostrovska, Sofiya, (2010)
-
Stieltjes classes for M-indeterminate powers of inverse Gaussian distributions
Ostrovska, Sofiya, (2005)
-
New Stieltjes classes involving generalized gamma distributions
Stoyanov, Jordan, (2004)
- More ...