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Teoriya Veroyatnostei i ee Primeneniya, 2022, Volume 67, Issue 3, Pages 591–596
DOI: https://doi.org/10.4213/tvp5461
(Mi tvp5461)
 

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

Short Communications

Another proof of a Sakhanenko theorem

Sh. K. Formanov

V. I. Romanovskiy Institute of Mathematcs of the Academy of Sciences of Uzbekistan
Full-text PDF (266 kB) Citations (1)
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Abstract: We give an analytic proof of Sakhanenko's theorem on the strong law of large numbers. Our arguments are based on the method of characteristic functions: under the Lindeberg-type condition, the expectation of the absolute value of the sum of independent random variables (r.v.'s) tends to zero. In our proof, we represent the expectation of the absolute value of an r.v. in terms of the corresponding characteristic function.
Keywords: random variable, characteristic function, strong law of large numbers.
Received: 25.11.2020
Revised: 21.02.2022
Accepted: 31.03.2022
English version:
Theory of Probability and its Applications, 2022, Volume 67, Issue 3, Pages 473–477
DOI: https://doi.org/10.1137/S0040585X97T991064
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Sh. K. Formanov, “Another proof of a Sakhanenko theorem”, Teor. Veroyatnost. i Primenen., 67:3 (2022), 591–596; Theory Probab. Appl., 67:3 (2022), 473–477
Citation in format AMSBIB
\Bibitem{For22}
\by Sh.~K.~Formanov
\paper Another proof of a~Sakhanenko theorem
\jour Teor. Veroyatnost. i Primenen.
\yr 2022
\vol 67
\issue 3
\pages 591--596
\mathnet{http://mi.mathnet.ru/tvp5461}
\crossref{https://doi.org/10.4213/tvp5461}
\transl
\jour Theory Probab. Appl.
\yr 2022
\vol 67
\issue 3
\pages 473--477
\crossref{https://doi.org/10.1137/S0040585X97T991064}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85152020630}
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  • https://doi.org/10.4213/tvp5461
  • https://www.mathnet.ru/eng/tvp/v67/i3/p591
  • 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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    Abstract page:167
    Full-text PDF :20
    References:53
    First page:15
     
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