Approximation Results for Sums of Independent Random Variables

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 imp...

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Bibliographic Details
Main Author: Pratima Eknath Kadu
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2022-07-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/378
Description
Summary: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.
ISSN:1645-6726
2183-0371