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Teoriya Veroyatnostei i ee Primeneniya, 1980, Volume 25, Issue 3, Pages 633–635 (Mi tvp1107)  

This article is cited in 1 scientific paper (total in 1 paper)

Short Communications

A remark on a weak convergence of a linear decomposable statistics

E. V. Hmaladze

Moscow
Full-text PDF (237 kB) Citations (1)
Abstract: We show that the interpretation of statistics
$$ \sum_{i=1}^N\nu_{in}l_i $$
(where $\nu_{in}$ is a frequency of the $i$-th outcome in the polynomial scheme with $N$ outcomes and $n$ trials and $l_i$ are coefficients) as a stochastic integral of the empirical process permits to investigate its asymptotic properties in a more general situation (and in a simpler manner) than in [2].
Received: 16.10.1979
English version:
Theory of Probability and its Applications, 1981, Volume 25, Issue 3, Pages 622–625
DOI: https://doi.org/10.1137/1125078
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. V. Hmaladze, “A remark on a weak convergence of a linear decomposable statistics”, Teor. Veroyatnost. i Primenen., 25:3 (1980), 633–635; Theory Probab. Appl., 25:3 (1981), 622–625
Citation in format AMSBIB
\Bibitem{Khm80}
\by E.~V.~Hmaladze
\paper A remark on a weak convergence of a linear decomposable
statistics
\jour Teor. Veroyatnost. i Primenen.
\yr 1980
\vol 25
\issue 3
\pages 633--635
\mathnet{http://mi.mathnet.ru/tvp1107}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=582597}
\zmath{https://zbmath.org/?q=an:0469.62033}
\transl
\jour Theory Probab. Appl.
\yr 1981
\vol 25
\issue 3
\pages 622--625
\crossref{https://doi.org/10.1137/1125078}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1980MB70100022}
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  • https://www.mathnet.ru/eng/tvp/v25/i3/p633
  • This publication is cited in the following 1 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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