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Teoriya Veroyatnostei i ee Primeneniya, 2002, Volume 47, Issue 3, Pages 554–558
DOI: https://doi.org/10.4213/tvp3694
(Mi tvp3694)
 

This article is cited in 4 scientific papers (total in 4 papers)

Short Communications

On the minimal condition of weak dependency in the central limit theorem for stationary sequences

A. G. Grin'

Omsk State University
Full-text PDF (560 kB) Citations (4)
Abstract: A minimal (in a certain sense) condition of weak dependency for stationary sequences is suggested which provides the validity of the central limit theorem.
Keywords: stationary sequences, weak dependency conditions, central limit theorem.
Received: 27.07.2000
English version:
Theory of Probability and its Applications, 2003, Volume 47, Issue 3, Pages 506–510
DOI: https://doi.org/10.1137/S0040585X97979925
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. G. Grin', “On the minimal condition of weak dependency in the central limit theorem for stationary sequences”, Teor. Veroyatnost. i Primenen., 47:3 (2002), 554–558; Theory Probab. Appl., 47:3 (2003), 506–510
Citation in format AMSBIB
\Bibitem{Gri02}
\by A.~G.~Grin'
\paper On the minimal condition of weak dependency in the central limit theorem for stationary sequences
\jour Teor. Veroyatnost. i Primenen.
\yr 2002
\vol 47
\issue 3
\pages 554--558
\mathnet{http://mi.mathnet.ru/tvp3694}
\crossref{https://doi.org/10.4213/tvp3694}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1975909}
\zmath{https://zbmath.org/?q=an:1033.60024}
\transl
\jour Theory Probab. Appl.
\yr 2003
\vol 47
\issue 3
\pages 506--510
\crossref{https://doi.org/10.1137/S0040585X97979925}
Linking options:
  • https://www.mathnet.ru/eng/tvp3694
  • https://doi.org/10.4213/tvp3694
  • https://www.mathnet.ru/eng/tvp/v47/i3/p554
  • This publication is cited in the following 4 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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