A general Hsu-Robbins-Erdos type estimate of tail probabilities of sums of independent identically distributed random variables

dc.creatorPruss, Alexander R.
dc.date1998-10-28
dc.date.accessioned2026-07-07T05:26:38Z
dc.date.available2026-07-07T05:26:38Z
dc.descriptionLet X_1,X_2,... be a sequence of independent and identically distributed random variables, and put S_n=X_1+...+X_n. Under some conditions on the positive sequence tau_n and the positive increasing sequence a_n, we give necessary and sufficient conditions for the convergence of sum_{n=1}^infty tau_n P(|S_n|>t a_n) for all t>0, generalizing Baum and Katz's (1965) generalization of the Hsu-Robbins-Erdos (1947, 1949) law of large numbers, also allowing us to characterize the convergence of the above series in the case where tau_n=1/n and a_n=(n log n)^{1/2} for n>1, thereby answering a question of Spataru. Moreover, some results for non-identically distributed independent random variables are obtained by a recent comparison inequality. Our basic method is to use a central limit theorem estimate of Nagaev (1965) combined with the Hoffman-Jorgensen inequality(1974).
dc.identifierhttps://arxiv.org/abs/math/9810163
dc.identifierhttp://arxiv.org/abs/math/9810163
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/77619
dc.subjectProbability
dc.subject60F05; 60F10; 60F15; 60E15
dc.titleA general Hsu-Robbins-Erdos type estimate of tail probabilities of sums of independent identically distributed random variables
dc.typetext

Files

Collections