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Sharp and Simple Bounds for the raw Moments of the Binomial and Poisson Distributions

Published 31 Mar 2021 in math.PR, math.ST, and stat.TH | (2103.17027v3)

Abstract: We prove the inequality E[(X/μ)<sup>k]</sup>(k/μlog(k/μ+1))<sup>k</sup>exp(k<sup>2/(2μ))E[(X/\mu)<sup>k]</sup> \le (\frac{k/\mu}{\log(k/\mu+1)})<sup>k</sup> \le \exp(k<sup>2/(2\mu)) for sub-Poissonian random variables, such as Binomially or Poisson distributed random variables with mean μ\mu. The asymptotics 1+O(k<sup>2/μ)1+O(k<sup>2/\mu) can be shown to be tight for small kk. This improves over previous uniform bounds for the raw moments of those distributions by a factor exponential in kk.

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