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.
引用
收藏
页码:81 / 105
页数:25
相关论文
共 50 条
  • [1] Sharpened upper bounds for the absolute constant in the Berry-Esseen inequality for mixed Poisson random sums
    Korolev, V. Yu.
    Shevtsova, I. G.
    [J]. DOKLADY MATHEMATICS, 2010, 81 (02) : 180 - 182
  • [2] Sharpened upper bounds for the absolute constant in the Berry-Esseen inequality for mixed Poisson random sums
    V. Yu. Korolev
    I. G. Shevtsova
    [J]. Doklady Mathematics, 2010, 81 : 180 - 182
  • [3] ON BERRY-ESSEEN RESULTS FOR THE COMPOUND POISSON-DISTRIBUTION
    MICHEL, R
    [J]. INSURANCE MATHEMATICS & ECONOMICS, 1993, 13 (01): : 35 - 37
  • [4] THE BERRY-ESSEEN BOUND FOR THE POISSON SHOT-NOISE
    LANE, JA
    [J]. ADVANCES IN APPLIED PROBABILITY, 1987, 19 (02) : 512 - 514
  • [5] Berry-Esseen bounds for compound-Poisson loss percentiles
    Feng, Frank Y.
    Powers, Michael R.
    Xiao, Rui'an
    Zhao, Lin
    [J]. SCANDINAVIAN ACTUARIAL JOURNAL, 2017, (06) : 519 - 534
  • [6] New Berry-Esseen bounds for non-linear functionals of Poisson random measures
    Eichelsbacher, Peter
    Thaele, Christoph
    [J]. ELECTRONIC JOURNAL OF PROBABILITY, 2014, 19 : 1 - 25
  • [7] REVERSING THE BERRY-ESSEEN INEQUALITY
    HALL, P
    BARBOUR, AD
    [J]. PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, 1984, 90 (01) : 107 - 110
  • [8] A SHARPENING OF INEQUALITY OF BERRY-ESSEEN
    ZOLOTAREV, VM
    [J]. ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE, 1967, 8 (04): : 332 - +
  • [9] Delicate Comparison of the Central and Non-Central Lyapunov Ratios with Applications to the Berry-Esseen Inequality for Compound Poisson Distributions
    Makarenko, Vladimir
    Shevtsova, Irina
    [J]. MATHEMATICS, 2023, 11 (03)
  • [10] A CONDITIONAL BERRY-ESSEEN INEQUALITY
    Klein, Thierry
    Lagnoux, Agnes
    Petit, Pierre
    [J]. JOURNAL OF APPLIED PROBABILITY, 2019, 56 (01) : 76 - 90