Measure of complete dependence of random vectors
© 2016 Elsevier Inc. In this work, we define a family of measures of complete dependence of absolutely continuous random vectors extended those of random variables. We show that these measures satisfy a suitable set of properties to be called measures of complete dependence. Computational examples a...
Saved in:
Main Authors: | Therdsak Boonmee, Santi Tasena |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84975129589&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55937 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Measure of complete dependence of random vectors
by: Boonmee T., et al.
Published: (2017) -
Measures of the functional dependence of random vectors
by: Santi Tasena, et al.
Published: (2018) -
A measure of multivariate mutual complete dependence
by: Santi Tasena, et al.
Published: (2018) -
Measures of the functional dependence of random vectors
by: Tasena S., et al.
Published: (2017) -
A measure of mutual complete dependence in discrete variables through subcopula
by: Qingsong Shan, et al.
Published: (2018)