Eaton's inequality
Appearance
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 ≤ i ≤ n. 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
- ^ Eaton ML (1974) A probability inequality for linear combinations of bounded random variables. Ann Statist 2(3) 609-614