2007
DOI: 10.1239/jap/1189717537
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Asymptotic Expansions for Distributions of Compound Sums of Random Variables with Rapidly Varying Subexponential Distribution

Abstract: We derive an asymptotic expansion for the distribution of a compound sum of independent random variables, all having the same rapidly varying subexponential distribution. The examples of a Poisson and geometric number of summands serve as an illustration of the main result. Complete calculations are done for a Weibull distribution, with which we derive, as examples and without any difficulties, seven-term expansions.

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Cited by 7 publications
(9 citation statements)
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References 20 publications
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“…Since the step from fixed n to a random N is straight-forward in this case (cf. Barbe et al [11]), we will only focus on the proof for fixed n.…”
Section: Higher-order Results For Regularly Varying Distributionsmentioning
confidence: 99%
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“…Since the step from fixed n to a random N is straight-forward in this case (cf. Barbe et al [11]), we will only focus on the proof for fixed n.…”
Section: Higher-order Results For Regularly Varying Distributionsmentioning
confidence: 99%
“…Before we outline the ideas of the proofs given in [7,11] one should mention that all proofs for higher order expansion (except the proof in [20] which uses Banach algebra techniques) use some decomposition of P(S n > s) and then asymptotically evaluate involved convolution integrals. For a distribution function F (s) and an 0 < η < 1, define the operators…”
Section: Asymptotic Approximations Of Compound Sumsmentioning
confidence: 99%
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