Limit theorems for maxima of some dependent random sums (Q355270)

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scientific article; zbMATH DE number 6190787
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Limit theorems for maxima of some dependent random sums
scientific article; zbMATH DE number 6190787

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    Limit theorems for maxima of some dependent random sums (English)
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    24 July 2013
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    Let \(\{X_{1j}:\,j\in\mathbb N\},\{X_{2j}:\,j\in\mathbb N\},\dots\) be independent sets of (possibly dependent) random variables in each set. Set \(Y_{mn}:=\max_{1\leq i\leq m}\sum_{j=1}^nX_{ij}\). The limit distribution of \(Y_{mn}\), linearly standardized, as \(m,n\to\infty\), is well-known if the random variables \(X_{ij}\), \(i,j\in\mathbb N\), are independent and identically distributed. This paper establishes the limit distribution of \(Y_{mn}\) under particular models for the joint distribution \((X_{i1},\dots,X_{ij})\), \(i,j\in\mathbb N\).
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    Maxima
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    sum of dependent random variables
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    normal distribution
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    Laplace distribution
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    stable distribution
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