Some results on convergence rates for probabilities of moderate deviations for sums of random variables

Let X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of moderate deviations are derived, i.e., the rate of convergence to zero of certain tail probabilities of the partial sums are determined. For example, we obtain equivalent conditions for the convergen...

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Main Authors: Deli Li, Xiangchen Wang, M. Bhaskara Rao
Format: Article
Language:English
Published: Wiley 1992-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Subjects:
Online Access:http://dx.doi.org/10.1155/S0161171292000644
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author Deli Li
Xiangchen Wang
M. Bhaskara Rao
author_facet Deli Li
Xiangchen Wang
M. Bhaskara Rao
author_sort Deli Li
collection DOAJ
description Let X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of moderate deviations are derived, i.e., the rate of convergence to zero of certain tail probabilities of the partial sums are determined. For example, we obtain equivalent conditions for the convergence of series ∑n≥1(ψ2(n)/n)P(|Sn|≥nφ(n)) only under the assumptions convergence that EX=0 and EX2=1, where φ and ψ are taken from a broad class of functions. These results generalize and improve some recent results of Li (1991) and Gafurov (1982) and some previous work of Davis (1968). For b∈[0,1] and ϵ>0, letλϵ,b=∑n≥3((loglogn)b/n)I(|Sn|≥(2+ϵ)nloglogn).The behaviour of Eλϵ,b as ϵ↓0 is also studied.
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spelling doaj-art-352c1414b1144c6eb62da4d8731bdc712025-02-03T01:07:20ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04251992-01-0115348149710.1155/S0161171292000644Some results on convergence rates for probabilities of moderate deviations for sums of random variablesDeli Li0Xiangchen Wang1M. Bhaskara Rao2Institute of Mathematics, Jilin University, Changchun 130023, ChinaDepartment of Mathematics, Jilin University, Changchun 130023, ChinaDepartment of Statistics, North Dakota State University, Fargo, ND 58105, USALet X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of moderate deviations are derived, i.e., the rate of convergence to zero of certain tail probabilities of the partial sums are determined. For example, we obtain equivalent conditions for the convergence of series ∑n≥1(ψ2(n)/n)P(|Sn|≥nφ(n)) only under the assumptions convergence that EX=0 and EX2=1, where φ and ψ are taken from a broad class of functions. These results generalize and improve some recent results of Li (1991) and Gafurov (1982) and some previous work of Davis (1968). For b∈[0,1] and ϵ>0, letλϵ,b=∑n≥3((loglogn)b/n)I(|Sn|≥(2+ϵ)nloglogn).The behaviour of Eλϵ,b as ϵ↓0 is also studied.http://dx.doi.org/10.1155/S0161171292000644moderate deviationsrates of convergencetail probabilities.
spellingShingle Deli Li
Xiangchen Wang
M. Bhaskara Rao
Some results on convergence rates for probabilities of moderate deviations for sums of random variables
International Journal of Mathematics and Mathematical Sciences
moderate deviations
rates of convergence
tail probabilities.
title Some results on convergence rates for probabilities of moderate deviations for sums of random variables
title_full Some results on convergence rates for probabilities of moderate deviations for sums of random variables
title_fullStr Some results on convergence rates for probabilities of moderate deviations for sums of random variables
title_full_unstemmed Some results on convergence rates for probabilities of moderate deviations for sums of random variables
title_short Some results on convergence rates for probabilities of moderate deviations for sums of random variables
title_sort some results on convergence rates for probabilities of moderate deviations for sums of random variables
topic moderate deviations
rates of convergence
tail probabilities.
url http://dx.doi.org/10.1155/S0161171292000644
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