A generalization of the global limit theorems of R. P. Agnew

For distribution functions {Fn,n≥0}, the relationship between the weak convergence of Fn to F0 and the convergence of ∫Rϕ(|Fn−F0|)dx to 0 is studied where ϕ is a nonnegative, nondecreasing function. Sufficient and, separately, necessary conditions are given for the latter convergence thereby general...

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Main Author: Andrew Rosalsky
Format: Article
Language:English
Published: Wiley 1988-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Subjects:
Online Access:http://dx.doi.org/10.1155/S0161171288000432
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author Andrew Rosalsky
author_facet Andrew Rosalsky
author_sort Andrew Rosalsky
collection DOAJ
description For distribution functions {Fn,n≥0}, the relationship between the weak convergence of Fn to F0 and the convergence of ∫Rϕ(|Fn−F0|)dx to 0 is studied where ϕ is a nonnegative, nondecreasing function. Sufficient and, separately, necessary conditions are given for the latter convergence thereby generalizing the so-called global limit theorems of Agnew wherein ϕ(t)=|t|r. The sufficiency results are shown to be sharp and, as a special case, yield a global version of the central limit theorem for independent random variables obeying the Liapounov condition. Moreover, weak convergence of distribution functions is characterized in terms of their almost everywhere limiting behavior with respect to Lebesgue measure on the line.
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spelling doaj-art-e7017bebf88c4a82bd846f750a26a3802025-08-20T02:21:10ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04251988-01-0111236537410.1155/S0161171288000432A generalization of the global limit theorems of R. P. AgnewAndrew Rosalsky0Department of Statistics, University of Florida, Gainesville 32611, Florida, USAFor distribution functions {Fn,n≥0}, the relationship between the weak convergence of Fn to F0 and the convergence of ∫Rϕ(|Fn−F0|)dx to 0 is studied where ϕ is a nonnegative, nondecreasing function. Sufficient and, separately, necessary conditions are given for the latter convergence thereby generalizing the so-called global limit theorems of Agnew wherein ϕ(t)=|t|r. The sufficiency results are shown to be sharp and, as a special case, yield a global version of the central limit theorem for independent random variables obeying the Liapounov condition. Moreover, weak convergence of distribution functions is characterized in terms of their almost everywhere limiting behavior with respect to Lebesgue measure on the line.http://dx.doi.org/10.1155/S0161171288000432distribution functionglobal limit theoremweak convergencecomplete convergencealmost everywhere convergenceuniform convergencesums of independent random variablescentral limit theoremLiapounov condition.
spellingShingle Andrew Rosalsky
A generalization of the global limit theorems of R. P. Agnew
International Journal of Mathematics and Mathematical Sciences
distribution function
global limit theorem
weak convergence
complete convergence
almost everywhere convergence
uniform convergence
sums of independent random variables
central limit theorem
Liapounov condition.
title A generalization of the global limit theorems of R. P. Agnew
title_full A generalization of the global limit theorems of R. P. Agnew
title_fullStr A generalization of the global limit theorems of R. P. Agnew
title_full_unstemmed A generalization of the global limit theorems of R. P. Agnew
title_short A generalization of the global limit theorems of R. P. Agnew
title_sort generalization of the global limit theorems of r p agnew
topic distribution function
global limit theorem
weak convergence
complete convergence
almost everywhere convergence
uniform convergence
sums of independent random variables
central limit theorem
Liapounov condition.
url http://dx.doi.org/10.1155/S0161171288000432
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