|
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
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
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
Linking options:
https://www.mathnet.ru/eng/tvp807https://doi.org/10.4213/tvp807 https://www.mathnet.ru/eng/tvp/v44/i3/p631
|
|