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  • 标题:Maximally dependent random variables
  • 本地全文:下载
  • 作者:T. L. Lai ; Herbert Robbins
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:1976
  • 卷号:73
  • 期号:2
  • 页码:286-288
  • DOI:10.1073/pnas.73.2.286
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Let X1..., Xn have an arbitrary common marginal distribution function F, and let Mn = max(X1..., Xn). It is shown that EMn [≤] mn, where mn = an + n[unk]an{infty}[1 -F(x)]dx and = F-1(1 - n-1), and that EMn = mn when X1..., Xn are "maximally dependent"; i.e., P(Mn > x) = min{1, n[1 - F(x)]} for all x. Moreover, as n [->] {infty
  • 关键词:maxima ; dependence
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