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On the Role of Extreme Summands in Sums of Independent Random Variables

2003en
ABI

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Sums of independent identically distributed random variables are considered. It is assumed that the underlying distribution belongs to the domain of attraction of a stable law with the characteristic exponent $\alpha\in (0,1)\cup(1,2)$. We focus our attention on the limit distribution of those sums from which k extreme right and m extreme left summands are removed.

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