An improvement of the Berry-Esseen inequality with applications to Poisson and mixed Poisson random sums

被引:57
|
作者
Korolev, Victor [1 ]
Shevtsova, Irina [1 ]
机构
[1] Moscow MV Lomonosov State Univ, Dept Math Stat, Fac Computat Math & Cybernet, Moscow, Russia
基金
俄罗斯基础研究基金会;
关键词
Central limit theorem; Berry-Esseen inequality; Smoothing inequality; Poisson random sum; Mixed Poisson distribution; APPROXIMATION; CONSTANT; ACCURACY;
D O I
10.1080/03461238.2010.485370
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
By a modification of the method that was applied in study of Korolev & Shevtsova (2009), here the inequalities rho(F-n, Phi) <= 0.33477(beta(3) + 0.429)/root n and rho(F-n, Phi) <= 0.3041(beta(3) + 1)/root n are proved for the uniform distance rho(F-n, Phi) between the standard normal distribution function Phi and the distribution function F-n of the normalized sum of an arbitrary number n >= 1 of independent identically distributed random variables with zero mean, unit variance, and finite third absolute moment beta(3). The first of these two inequalities is a structural improvement of the classical Berry-Esseen inequality and as well sharpens the best known upper estimate of the absolute constant in the classical Berry-Esseen inequality since 0.33477(beta(3) + 0.429) <= 00.33477(1 + 0.429)beta(3) <0.4784 beta(3) by virtue of the condition beta(3) >= E1. The latter inequality is applied to lowering the upper estimate of the absolute constant in the analog of the Berry-Esseen inequality for Poisson random sums to 0.3041 which is strictly less than the least possible value 0.4097... of the absolute constant in the classical Berry-Esseen inequality. As corollaries, the estimates of the rate of convergence in limit theorems for compound mixed Poisson distributions are refined.
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页码:81 / 105
页数:25
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