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Large Deviations for Sums of Independent Heavy-Tailed Random Variables
Authors:Skučaitė   A.
Affiliation:A. Sku"ccaron"ait"edot"
Abstract:
We obtain precise large deviations for heavy-tailed random sums 
$$S(t) = sumnolimits_{i = 1}^{N(t)} {X_i ,t geqslant 0} $$
, of independent random variables. 
$$(N(t))_{t geqslant 0} $$
are nonnegative integer-valued random variables independent of r.v. (Xi)i 
$$ in $$
N with distribution functions Fi. We assume that the average of right tails of distribution functions Fi is equivalent to some distribution function with regularly varying tail. An example with the Pareto law as the limit function is given.
Keywords:large deviations  random sums  renewal risk model  regular variation
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