Abstract
We obtain an integro-local limit theorem for the sum S(n) = ξ(1)+⋯+ξ(n) of independent identically distributed random variables with distribution whose right tail varies regularly; i.e., it has the form P(ξ≥t) = t −β L(t) with β > 2 and some slowly varying function L(t). The theorem describes the asymptotic behavior on the whole positive half-axis of the probabilities P(S(n) ∈ [x, x + Δ)) as x → ∞ for a fixed Δ > 0; i.e., in the domain where the normal approximation applies, in the domain where S(n) is approximated by the distribution of its maximum term, as well as at the “junction” of these two domains.
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Original Russian Text Copyright © 2008 Mogul’skiĭ A. A.
The author was supported by the Russian Foundation for Basis Research (Grants 05-01-00810, 07-01-00595, and 08-01-00962) and the State Maintenance Program for the Leading Scientific Schools of the Russian Federation (Grants NSh-8980.2006.1 and RNSh.2.1.1.1379).
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Translated from Sibirskiĭ Matematicheskiĭ Zhurnal, Vol. 49, No. 4, pp. 837–854, July–August, 2008.
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Mogul’skii, A.A. An integro-local theorem applicable on the whole half-axis to the sums of random variables with regularly varying distributions. Sib Math J 49, 669–683 (2008). https://doi.org/10.1007/s11202-008-0064-2
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DOI: https://doi.org/10.1007/s11202-008-0064-2