On a limit structure of the Galton–Watson branching processes with regularly varying generating functions

IF 0.4 4区 数学 Q4 STATISTICS & PROBABILITY
A. Imomov
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引用次数: 5

Abstract

We investigate limit properties of discrete time branching processes with application of the theory of regularly varying functions in the sense of Karamata. In the critical situation we suppose that the offspring probability generating function has an infinite second moment but its tail regularly varies. In the noncritical case, the finite moment of type Ε[x ln x] is required. The lemma on the asymptotic representation of the generating function of the process and its differential analogue will underlie our conclusions.
关于具有正则变生成函数的Galton–Watson分支过程的一个极限结构
应用正则变函数理论研究了离散时间分支过程的极限性质。在临界情况下,我们假设子代概率发生函数具有无限的二阶矩,但其尾部有规律地变化。在非临界情况下,需要类型为?[xlnx]的有限矩。关于过程的母函数及其微分类似的渐近表示的引理将成为我们结论的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: PROBABILITY AND MATHEMATICAL STATISTICS is published by the Kazimierz Urbanik Center for Probability and Mathematical Statistics, and is sponsored jointly by the Faculty of Mathematics and Computer Science of University of Wrocław and the Faculty of Pure and Applied Mathematics of Wrocław University of Science and Technology. The purpose of the journal is to publish original contributions to the theory of probability and mathematical statistics.
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