Jump to content

Eaton's inequality

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by DrMicro (talk | contribs) at 09:15, 24 February 2013 (Statement of the inequality). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Eaton's inequality is a bound on the maximal values of a linear combination of bounded random variables.

History

This inequality was described in 1974 by Eaton.[1]

Statement of the inequality

Let Xi be a set of real independent random variables each with a mean of zero and bounded by 1 ( | Xi | ≤ 1). Let 1 ≤ in. The variates do not have to be identically or symmetrically distributed. Let ai be a set of n fixed real numbers with

Eaton showed that

where φ( x ) is the normal probability density.

References

  1. ^ Eaton ML (1974) A probability inequality for linear combinations of bounded random variables. Ann Statist 2(3) 609-614