Title
Separation Metrics For Real-Valued Random Variables
Keywords
distributi on functions metrics; metrics on random variables; probability spaces; Random variables
Abstract
If W is a fixed, real-valued random variable, then there are simple and easily satisfied conditions under which the function dw, where dw (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]. © 1984, Hindawi Publishing Corporation. All rights reserved.
Publication Date
1-1-1984
Publication Title
International Journal of Mathematics and Mathematical Sciences
Volume
7
Issue
2
Number of Pages
407-408
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1155/S0161171284000429
Copyright Status
Unknown
Socpus ID
84879283197 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84879283197
STARS Citation
Taylor, Michael D. and Debnath, L., "Separation Metrics For Real-Valued Random Variables" (1984). Scopus Export 1980s. 71.
https://stars.library.ucf.edu/scopus1980/71