2012
DOI: 10.1017/s0021900200009104
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On a Class of Distributions Stable Under Random Summation

Abstract: We investigate a family of distributions having a property of stability-under-addition, provided that the number ν of added-up random variables in the random sum is also a random variable. We call the corresponding property a ν-stability and investigate the situation with the semigroup generated by the generating function of ν is commutative.Using results from the theory of iterations of analytic functions, we show that the characteristic function of such a ν-stable distribution can be represented in terms of … Show more

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Cited by 14 publications
(19 citation statements)
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“…For the case of transformed negative binomial distribution for the number of summands the role of Gaussian law is played by symmetric gamma distribution. Many other examples are given in [4]. All such distributions have finite second moment.…”
Section: How To Obtain More Outliers?mentioning
confidence: 99%
“…For the case of transformed negative binomial distribution for the number of summands the role of Gaussian law is played by symmetric gamma distribution. Many other examples are given in [4]. All such distributions have finite second moment.…”
Section: How To Obtain More Outliers?mentioning
confidence: 99%
“…where T n (x) is Chebyshev polynomial of the first kind. In [9] it was proven, that (2.1) really define a family of probability generation functions. Standard solution of Poincare equation has the form (see, [9])…”
Section: ν-Gh Distrbutionsmentioning
confidence: 99%
“…In a recent paper, L. B. Klebanov et al [3] considered random sums of independent random variables of the form…”
Section: A Probabilistic Representation Of Euler Polynomials and Theimentioning
confidence: 99%