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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 1999 Volume 44, Issue 3, Pages 631–633 (Mi tvp807)

This article is cited 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

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

DOI: 10.4213/tvp807


 English version:
Theory of Probability and its Applications, 2000, 44:3, 558–561

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