Max-Compound Cox Processes. I


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详细

Extreme values are considered in samples with random size that have a mixed Poisson distribution that is generated by a doubly stochastic Poisson process. Some inequalities are proved relating the distributions and moments of extrema with those of the leading process (the mixing distribution). Limit theorems are proved for the distributions of max-compound Cox processes, and limit distributions are described. An important particular case of the negative binomial distribution of a sample size corresponding to the case where the Cox process is led by a gamma Lévy process is considered, explaining a possible genesis of tempered asymptotic models.

作者简介

V. Korolev

Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University; Federal Research Center “Computer Science and Control”, Russian Academy of Sciences; Hangzhou Dianzi University

编辑信件的主要联系方式.
Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow; Moscow; Hangzhou

I. Sokolov

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences; Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow; Moscow

A. Gorshenin

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences; Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow; Moscow


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