Infinitely divisible approximations for discrete nonlattice variables
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Published:2003-12
Issue:04
Volume:35
Page:982-1006
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ISSN:0001-8678
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Container-title:Advances in Applied Probability
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language:en
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Short-container-title:Adv. Appl. Probab.
Abstract
Sums of independent random variables concentrated on discrete, not necessarily lattice, set of points are approximated by infinitely divisible distributions and signed compound Poisson measures. A version of Kolmogorov's first uniform theorem is proved. Second-order asymptotic expansions are constructed for distributions with pseudo-lattice supports.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability