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Modern Stochastics: Theory and Applications*

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Random convolution of inhomogeneous distributions with O-exponential tail
Volume 3, Issue 1 (2016), pp. 79–94
Svetlana Danilenko   Simona Paškauskaitė   Jonas Šiaulys  

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https://doi.org/10.15559/16-MSTA52
Pub. online: 4 April 2016      Type: Research Article      Open accessOpen Access

Received
28 January 2016
Revised
21 March 2016
Accepted
21 March 2016
Published
4 April 2016

Abstract

Let $\{\xi _{1},\xi _{2},\dots \}$ be a sequence of independent random variables (not necessarily identically distributed), and η be a counting random variable independent of this sequence. We obtain sufficient conditions on $\{\xi _{1},\xi _{2},\dots \}$ and η under which the distribution function of the random sum $S_{\eta }=\xi _{1}+\xi _{2}+\cdots +\xi _{\eta }$ belongs to the class of $\mathcal{O}$-exponential distributions.

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Keywords
Heavy tail exponential tail O-exponential tail random sum random convolution inhomogeneous distributions closure property

MSC2010
62E20 60E05 60F10 44A35

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