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.
The research is supported by the Russian Foundation for Basic Research (project 17-07-00717).
Received: 15.10.2018
Bibliographic databases:
Document Type:
Article
Language: Russian
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
This publication is cited in the following 2 articles:
V. Yu. Korolev, I. G. Shevtsova, O. V. Shestakov, “Asymptotic and Analytic Properties of Mixture Probability Models and Their Application to the Analysis of Complex Systems”, MoscowUniv.Comput.Math.Cybern., 48:4 (2024), 317
Yu. Khokhlov, V. Korolev, A. Zeifman, “Multivariate scale-mixed stable distributions and related limit theorems”, Mathematics, 8:5 (2020), 749