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Teoriya Veroyatnostei i ee Primeneniya, 1995, Volume 40, Issue 4, Pages 885–888 (Mi tvp3681)  
This article is cited in 40 scientific papers (total in 40 papers)

Short Communications

A refinement of the central limit theorem for sums of independent random indicators

A. Yu. Volkova

Steklov Mathematical Institute, Russian Academy of Sciences
Full-text PDF (255 kB) Citations (40)
Abstract: This paper introduces an estimate of approximation errors for the distribution function of a sum of random indicators. The approximation is demonstrated with the help of the problem of estimating the distribution function of the empty cells number in the equiprobable scheme for group distribution of particles.
Keywords: sums of independent random variables, group distribution of particles.
Received: 03.12.1992
English version:
Theory of Probability and its Applications, 1995, Volume 40, Issue 4, Pages 791–794
DOI: https://doi.org/10.1137/1140093
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Yu. Volkova, “A refinement of the central limit theorem for sums of independent random indicators”, Teor. Veroyatnost. i Primenen., 40:4 (1995), 885–888; Theory Probab. Appl., 40:4 (1995), 791–794
Citation in format AMSBIB
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\paper A refinement of the central limit theorem for sums of independent random indicators
\jour Teor. Veroyatnost. i Primenen.
\yr 1995
\vol 40
\issue 4
\pages 885--888
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\zmath{https://zbmath.org/?q=an:0861.60029}
\transl
\jour Theory Probab. Appl.
\yr 1995
\vol 40
\issue 4
\pages 791--794
\crossref{https://doi.org/10.1137/1140093}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1996WD22100023}
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  • https://www.mathnet.ru/eng/tvp/v40/i4/p885
    • This publication is cited in the following 40 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Теория вероятностей и ее применения Theory of Probability and its Applications
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