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Teoriya Veroyatnostei i ee Primeneniya, 1993, Volume 38, Issue 3, Pages 540–552 (Mi tvp3964)  
This article is cited in 12 scientific papers (total in 12 papers)

On a refinement of the central limit theorem for sums of independent random indicators

V. G. Mikhailov

Steklov Mathematical Institute, Russian Academy of Sciences
Full-text PDF (1988 kB) Citations (12)
Abstract: Explicit and rather tight upper bounds for the distance (in the uniform metric) between the distribution function of a sum of independent random indicators and its asymptotic expansion are obtained.
Keywords: random indicators, nonhomogenuous Bernoulli scheme, asymptotic expansion, closeness of approximation.
Received: 04.09.1990
English version:
Theory of Probability and its Applications, 1993, Volume 38, Issue 3, Pages 479–489
DOI: https://doi.org/10.1137/1138044
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. G. Mikhailov, “On a refinement of the central limit theorem for sums of independent random indicators”, Teor. Veroyatnost. i Primenen., 38:3 (1993), 540–552; Theory Probab. Appl., 38:3 (1993), 479–489
Citation in format AMSBIB
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\paper On a refinement of the central limit theorem for sums of independent random indicators
\jour Teor. Veroyatnost. i Primenen.
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\vol 38
\issue 3
\pages 540--552
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\zmath{https://zbmath.org/?q=an:0811.60015}
\transl
\jour Theory Probab. Appl.
\yr 1993
\vol 38
\issue 3
\pages 479--489
\crossref{https://doi.org/10.1137/1138044}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1993PJ74300007}
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    • 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
    		Теория вероятностей и ее применения Theory of Probability and its Applications
     
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