On upper bounds for the tail distribution of geometric sums of subexponential random variables

  • Authors:
  • Andrew Richards

  • Affiliations:
  • Department of Actuarial Mathematics and Statistics and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh, UK

  • Venue:
  • Queueing Systems: Theory and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.01

Visualization

Abstract

The approach used by Kalashnikov and Tsitsiashvili for constructing upper bounds for the tail distribution of a geometric sum with subexponential summands is reconsidered. By expressing the problem in a more probabilistic light, several improvements and one correction are made, which enables the constructed bound to be significantly tighter. Several examples are given, showing how to implement the theoretical result.