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On the accuracy of the normal approximation for sums of symmetric independent random variables

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Publication:1761004
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DOI10.1134/S1064562412020354zbMath1268.60028OpenAlexW2003152702MaRDI QIDQ1761004

I. G. Shevtsova

Publication date: 15 November 2012

Published in: Doklady Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064562412020354


zbMATH Keywords

central limit theoremasymptotic estimatessymmetric distributionKolmogorov metric


Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Inequalities; stochastic orderings (60E15) Central limit and other weak theorems (60F05) Distribution theory (60E99)


Related Items

An optimal Berry-Esseen type inequality for expectations of smooth functions ⋮ On the absolute constants in the Berry-Esseen-type inequalities ⋮ An optimal Berry-Esseen type theorem for integrals of smooth functions



Cites Work

  • Asymptotically proper constants in the Lyapunov theorem
  • On the asymptotical behavior of the constant in the Berry-Esseen inequality
  • A New Asymptotic Expansion and Asymptotically Best Constants in Lyapunov's Theorm. I.
  • On the Asymptotically Exact Constants in the Berry–Esseen–Katz Inequality


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