Zero biasing and a discrete central limit theorem

dc.creatorGoldstein, Larry
dc.creatorXia, Aihua
dc.date2005-09-20
dc.date2006-11-22
dc.date.accessioned2026-07-07T06:43:04Z
dc.date.available2026-07-07T06:43:04Z
dc.descriptionWe introduce a new family of distributions to approximate $\mathbb {P}(W\in A)$ for $A\subset\{...,-2,-1,0,1,2,...\}$ and $W$ a sum of independent integer-valued random variables $ξ_1$, $ξ_2$, $...,$ $ξ_n$ with finite second moments, where, with large probability, $W$ is not concentrated on a lattice of span greater than 1. The well-known Berry--Esseen theorem states that, for $Z$ a normal random variable with mean $\mathbb {E}(W)$ and variance $\operatorname {Var}(W)$, $\mathbb {P}(Z\in A)$ provides a good approximation to $\mathbb {P}(W\in A)$ for $A$ of the form $(-\infty,x]$. However, for more general $A$, such as the set of all even numbers, the normal approximation becomes unsatisfactory and it is desirable to have an appropriate discrete, nonnormal distribution which approximates $W$ in total variation, and a discrete version of the Berry--Esseen theorem to bound the error. In this paper, using the concept of zero biasing for discrete random variables (cf. Goldstein and Reinert [J. Theoret. Probab. 18 (2005) 237--260]), we introduce a new family of discrete distributions and provide a discrete version of the Berry--Esseen theorem showing how members of the family approximate the distribution of a sum $W$ of integer-valued variables in total variation.
dc.descriptionPublished at http://dx.doi.org/10.1214/009117906000000250 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0509444
dc.identifierhttp://arxiv.org/abs/math/0509444
dc.identifierAnnals of Probability 2006, Vol. 34, No. 5, 1782-1806
dc.identifierdoi:10.1214/009117906000000250
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102275
dc.subjectProbability
dc.subject60F05 (Primary) 60G50 (Secondary)
dc.titleZero biasing and a discrete central limit theorem
dc.typetext

Files

Collections