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

Socpus ID

84879283197 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84879283197

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