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An asymptotically Gaussian bound on the Rademacher tails
Published 13 Jul 2010 in math.PR, math.ST, and stat.TH | (1007.2137v3)
Abstract: An explicit upper bound on the tail probabilities for the normalized Rademacher sums is given. This bound, which is best possible in a certain sense, is asymptotically equivalent to the corresponding tail probability of the standard normal distribution, thus affirming a longstanding conjecture by Efron. Applications to sums of general centered uniformly bounded independent random variables and to the Student test are presented.
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