Abstract
We obtain some integro-local and integral limit theorems for the sums S(n) = ξ(1) + ⋯ + ξ(n) of independent random variables with general semiexponential distribution (i.e., a distribution whose right tail has the form \(P(\xi \ge t) = e^{ - t^\beta L(t)} \), where β ∈ (0, 1) and L(t) is a slowly varying function with some smoothness properties). These theorems describe the asymptotic behavior as x → ∞ of the probabilities P(S(n) ∈ [x, x + Δ)) and P(S(n) ≥ x) in the zone of normal deviations and all zones of large deviations of x: in the Cramér and intermediate zones, and also in the “extreme” zone where the distribution of S(n) is approximated by that of the maximal summand.
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Original Russian Text Copyright © 2006 Borovkov A. A. and Mogul’skiĭ A. A.
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Translated from Sibirskiĭ Matematicheskiĭ Zhurnal, Vol. 47, No. 6, pp. 1218–1257, November–December, 2006.
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Borovkov, A.A., Mogul’skii, A.A. Integro-local and integral theorems for sums of random variables with semiexponential distributions. Sib Math J 47, 990–1026 (2006). https://doi.org/10.1007/s11202-006-0110-x
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DOI: https://doi.org/10.1007/s11202-006-0110-x