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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Therdsak Boonmee | en_US |
| dc.contributor.author | Santi Tasena | en_US |
| dc.date.accessioned | 2018-09-05T03:06:04Z | - |
| dc.date.available | 2018-09-05T03:06:04Z | - |
| dc.date.issued | 2016-11-01 | en_US |
| dc.identifier.issn | 10960813 | en_US |
| dc.identifier.issn | 0022247X | en_US |
| dc.identifier.other | 2-s2.0-84975129589 | en_US |
| dc.identifier.other | 10.1016/j.jmaa.2016.05.051 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84975129589&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/55937 | - |
| dc.description.abstract | © 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 are also given. | en_US |
| dc.subject | Mathematics | en_US |
| dc.title | Measure of complete dependence of random vectors | en_US |
| dc.type | Journal | en_US |
| article.title.sourcetitle | Journal of Mathematical Analysis and Applications | en_US |
| article.volume | 443 | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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