ON EXTREME VALUES OF BIRTH AND DEATH PROCESSES

I. Matsak
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Abstract

We establish the convergence rate to exponential distribution in a limit theorem for extreme values of birth and death processes. Some applications of this result are given to processes specifying queue length.). We establish uniform estimates for the convergence rate in the exponential distribution in a limit theorem for extreme values of birth and death processes. This topic is closely related to the problem on the time of first intersection of some level u by a regenerating process. Of course, we assume that both time t and level u grow infinitely. The proof of our main result is based on an important estimate for general regenerating processes. Investigations of the kind are needed in different fields: mathematical theory of reliability, queueing theory, some statistical problems in physics. We also provide with examples of applications of our results to extremal queueing problems M/M/s. In particular case of queueing M/M/1, we show that the obtained estimates have the right order with respect to the probability q(u) of the exceeding of a level u at one regeneration cycle, that is, only improvement of the corresponding constants is possible.
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关于生死过程的极端值
用极限定理建立了生灭过程极值对指数分布的收敛速率。这个结果的一些应用给出了指定队列长度的进程。在生与死过程极值的极限定理中,建立了指数分布下收敛速率的一致估计。本课题与用再生过程求解某层u的首次交点时间问题密切相关。当然,我们假设时间t和水平u都是无限增长的。我们的主要结果的证明是基于对一般再生过程的一个重要估计。这类研究在不同的领域都需要:可靠性的数学理论,排队理论,物理学中的一些统计问题。我们还提供了将我们的结果应用于极值排队问题M/M/s的示例。在M/M/1队列的特殊情况下,我们证明了所得到的估计对于在一个再生周期内超过一个水平u的概率q(u)有正确的阶数,即只可能改进相应的常数。
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