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Some improved tail bounds for the sum of variables with geometric distribution
Authors:Dawei Lu  Qing Liu  Xinmei Shen
Institution:1. School of Mathematical Sciences, Dalian University of Technology, Dalian, Chinaludawei_dlut@163.com;3. School of Mathematical Sciences, Dalian University of Technology, Dalian, China
Abstract:Abstract

In this paper, compared with the results in Janson (2018 Janson, S. 2018. Tail bounds for sums of geometric and exponential variables. Statistics & Probability Letters 135 (C):16. doi:10.1016/j.spl.2017.11.017.Crossref] Google Scholar]), we provide some improved explicit bounds for the tail probabilities of the sum of independent geometric variables with their expectations and variances. Particularly, in some cases, we demonstrate that our bounds are sharper than the ones in Janson (2018 Janson, S. 2018. Tail bounds for sums of geometric and exponential variables. Statistics & Probability Letters 135 (C):16. doi:10.1016/j.spl.2017.11.017.Crossref] Google Scholar]).
Keywords:Geometric distribution  tail probability  probability generating function  inequalities
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