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Teoriya Veroyatnostei i ee Primeneniya, 2000, Volume 45, Issue 3, Pages 568–583
DOI: https://doi.org/10.4213/tvp486 (Mi tvp486) 		 
This article is cited in 64 scientific papers (total in 64 papers)

A general approach to the strong laws of large numbers

I. Fazekasa, O. Klesovb

a Institute of Mathematics and Informatics, Kossuth Lajos University, Hungary
b National Technical University of Ukraine, Department of Mathematics, Ukraine
Full-text PDF (705 kB) Citations (64)
DOI: https://doi.org/10.4213/tvp486
Abstract: A general method for obtaining the strong law of large numbers for sequences of random variables is considered. Some applications for dependent summands are given.
Keywords: strong law of large numbers, Hájek–Rényi maximal inequality, $\rho$-mixing, logarithmically weighted sums.
Received: 18.03.1998
Revised: 11.03.1999
English version:
Theory of Probability and its Applications, 2001, Volume 45, Issue 3, Pages 436–449
DOI: https://doi.org/10.1137/S0040585X97978385
Bibliographic databases:
Language: English
Citation: I. Fazekas, O. Klesov, “A general approach to the strong laws of large numbers”, Teor. Veroyatnost. i Primenen., 45:3 (2000), 568–583; Theory Probab. Appl., 45:3 (2001), 436–449
Citation in format AMSBIB
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\paper A general approach to the strong laws of large numbers
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\pages 568--583
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\zmath{https://zbmath.org/?q=an:0991.60021}
\transl
\jour Theory Probab. Appl.
\yr 2001
\vol 45
\issue 3
\pages 436--449
\crossref{https://doi.org/10.1137/S0040585X97978385}
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  • https://www.mathnet.ru/eng/tvp/v45/i3/p568
    • This publication is cited in the following 64 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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