A sharpening of Tusn\'ady's inequality

Abstract

Let ~1, ..., m be i.i.d. random variables with P(i=1)= P(i= -1)=1/2, and Xm = Σi=1m i. Let Ym be a normal random variable with the same first two moments as that of Xm. There is a uniquely determined function m such that the distribution of m(Ym) equals to the distribution of Xm. Tusn\'ady's inequality states that m(Ym) - Ym ≤ Ym2m+1. Here we propose a sharpened version of this inequality.

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