Approximation Results for Sums of Independent Random Variables

Authors

DOI:

https://doi.org/10.57805/revstat.v20i3.378

Keywords:

Poisson and geometric distribution, perturbations, probability generating function, Stein operator, Stein’s method

Abstract

In this article, we consider Poisson and Poisson convoluted geometric approximation to the sums of n independent random variables under moment conditions. We use Stein’s method to derive the approximation results in total variation distance. The error bounds obtained are either comparable to or improvement over the existing bounds available in the literature. Also, we give an application to the waiting time distribution of 2-runs.

Published

2022-07-18

How to Cite

Eknath Kadu , P. (2022). Approximation Results for Sums of Independent Random Variables. REVSTAT-Statistical Journal, 20(3), 373–385. https://doi.org/10.57805/revstat.v20i3.378