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Teoriya Veroyatnostei i ee Primeneniya, 1999, Volume 44, Issue 3, Pages 631–633
DOI: https://doi.org/10.4213/tvp807
(Mi tvp807)
 

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

Short Communications

Limit theorems for maxima of independent random sums

A. V. Lebedev

M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (186 kB) Citations (4)
Abstract: We consider extrema of the form
$$ Y_{mn}=\max\limits_{1\le i\le m}\sum^n_{j=1}X_{ij},\quad m,n\ge 1, $$
where $X_{ij}$, $i,j\ge 1$, are independent identically distributed random variables. An asymptotic behavior of $Y_{mn}$ as ${m,n\to\infty}$ is investigated. In particular, the paper shows when the asymptotic behavior of $Y_{mn}$ coincides with the asymptotics of maxima of normally distributed variables under some linear normalizing.
Keywords: maxima, random sums, limit theorems, asymptotic normality, Edgeworth expansion, matrix norms.
Received: 14.09.1998
English version:
Theory of Probability and its Applications, 2000, Volume 44, Issue 3, Pages 558–561
DOI: https://doi.org/10.1137/S0040585X9797777X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Lebedev, “Limit theorems for maxima of independent random sums”, Teor. Veroyatnost. i Primenen., 44:3 (1999), 631–633; Theory Probab. Appl., 44:3 (2000), 558–561
Citation in format AMSBIB
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\paper Limit theorems for maxima of independent random sums
\jour Teor. Veroyatnost. i Primenen.
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\issue 3
\pages 631--633
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\transl
\jour Theory Probab. Appl.
\yr 2000
\vol 44
\issue 3
\pages 558--561
\crossref{https://doi.org/10.1137/S0040585X9797777X}
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  • https://doi.org/10.4213/tvp807
  • https://www.mathnet.ru/eng/tvp/v44/i3/p631
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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