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Informatika i Ee Primeneniya [Informatics and its Applications], 2011, Volume 5, Issue 1, Pages 39–45 (Mi ia5)  

This article is cited in 12 scientific papers (total in 12 papers)

On the accuracy of the normal approximation to distributions of Poisson random sums

Yu. S. Nefedova, I. G. Shevtsova

M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
References:
Abstract: Two-sided bounds were constructed for the constant in the Berry–Esseen inequality for Poisson random sums of independent identically distributed random variables with finite absolute moments of order $2+\delta$ with $\delta\in(0,1]$. The lower bounds were obtained for the first time. For the case $0<\delta<1$, the upper bounds were sharpened, and the nonuniform estimates were proved.
Keywords: central limit theorem; Poisson random sums; Berry–Esseen inequality; absolute constant; nonuniform estimate.
Document Type: Article
Language: Russian
Citation: Yu. S. Nefedova, I. G. Shevtsova, “On the accuracy of the normal approximation to distributions of Poisson random sums”, Inform. Primen., 5:1 (2011), 39–45
Citation in format AMSBIB
\Bibitem{NefShe11}
\by Yu.~S.~Nefedova, I.~G.~Shevtsova
\paper On the accuracy of the normal approximation to distributions of Poisson random sums
\jour Inform. Primen.
\yr 2011
\vol 5
\issue 1
\pages 39--45
\mathnet{http://mi.mathnet.ru/ia5}
Linking options:
  • https://www.mathnet.ru/eng/ia5
  • https://www.mathnet.ru/eng/ia/v5/i1/p39
  • This publication is cited in the following 12 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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