RESEARCH ARTICLE
Asymptotic Expansion for Inverse Moments of Binomial and Poisson Distributions
Marko ZnidariČ*
Faculty of Mathematics and Physics University of Ljubljana, Slovenia.
Article Information
Identifiers and Pagination:
Year: 2009Volume: 1
First Page: 7
Last Page: 10
Publisher Id: TOSPJ-1-7
DOI: 10.2174/1876527000901010007
Article History:
Received Date: 8/10/2008Revision Received Date: 23/10/2008
Acceptance Date: 10/11/2008
Electronic publication date: 15/1/2009
Collection year: 2009
© 2009 ZnidariČ et al.;
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
An asymptotic expansion for inverse moments of positive binomial and Poisson distributions is derived. The expansion coefficients of the asymptotic series are given by the positive central moments of the distribution. Compared to previous results, a single expansion formula covers all (also non-integer) inverse moments. In addition, the approach can be generalized to other positive distributions.
