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This article is cited in 1 scientific paper (total in 1 paper)
New mixture representations of the generalized Mittag-Leffler distribution and their applications
V. Yu. Korolevabc, A. K. Gorsheninac, A. I. Zeifmanade a Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian
Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
b Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou 310018, China
c Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
d Vologda Research Center of the Russian Academy of Sciences, 56-A Gorky Str., Vologda 160001, Russian
Federation
e Vologda State University, 15 Lenin Str., Vologda 160000, Russian Federation
Abstract:
The article provides new mixture represenations for the generalized Mittag-Leffler distribution. In particular, it is shown that for values of the “generalizing” parameter not exceeding one, the generalized Mittag-Leffler distribution is a scale mixture of the half-normal distribution laws, classic Mittag-Leffler distributions, or generalized Mittag-Leffler distributions with the larger values of the characteristic index. The explicit expressions for mixing quantities are given for all cases. The obtained representations allow proposing new algorithms for modeling random variables with the generalized Mittag-Leffler distribution and formulating new limit theorems in which such distributions appear as the limit ones.
Keywords:
generalized Mittag-Leffler distribution, scale mixture, generalized gamma distribution, half-normal distribution, stable distribution.
Received: 15.10.2018
Citation:
V. Yu. Korolev, A. K. Gorshenin, A. I. Zeifman, “New mixture representations of the generalized Mittag-Leffler distribution and their applications”, Inform. Primen., 12:4 (2018), 75–85
Linking options:
https://www.mathnet.ru/eng/ia566 https://www.mathnet.ru/eng/ia/v12/i4/p75
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