Separation metrics for real-valued random variables

Michael D. Taylor

International Journal of Mathematics and Mathematical Sciences, 1984, vol. 7, 1-2

Abstract:

If W is a fixed, real-valued random variable, then there are simple and easily satisfied conditions under which the function d W , where d W ( X , Y ) = the probability that W separates the real-valued random variables X and Y , turns out to be a metric. The observation was suggested by work done in [1].

Date: 1984
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/IJMMS/7/290983.pdf (application/pdf)
http://downloads.hindawi.com/journals/IJMMS/7/290983.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:290983

DOI: 10.1155/S0161171284000429

Access Statistics for this article

More articles in International Journal of Mathematics and Mathematical Sciences from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().