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文章基本信息

  • 标题:Separation metrics for real-valued random variables
  • 本地全文:下载
  • 作者:Michael D. Taylor
  • 期刊名称:International Journal of Mathematics and Mathematical Sciences
  • 印刷版ISSN:0161-1712
  • 电子版ISSN:1687-0425
  • 出版年度:1984
  • 卷号:7
  • DOI:10.1155/S0161171284000429
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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].
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