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Estimate of the Parameter of Unextendable Random Dead Time in a Recurrent Generalized Asynchronous Flow of Physical Events
Russian Physics Journal ( IF 0.6 ) Pub Date : 2020-05-25 , DOI: 10.1007/s11182-020-02007-5
L. A. Nezhel’skaya , A. A. Pershina

A recurrent generalized asynchronous flow of events (generalized MMPP flow) is considered which represents a widespread mathematical model of the flow of elementary particles and information requests in telecommunication and computer networks and belongs to the class of double stochastic flows of events. The functioning of the flow is considered under the conditions of a random unextendable dead time distributed uniformly over the interval [0, T * ]. The dead time parameter T * is estimated by the method of moments. The results of statistical experiments are presented.

中文翻译:

物理事件循环广义异步流中不可扩展随机死区参数的估计

考虑了循环的广义异步事件流(广义MMPP流),它代表了电信和计算机网络中基本粒子流和信息请求的广泛数学模型,属于双随机事件流类。在随机不可扩展的死区时间均匀分布在区间 [0, T * ] 的条件下考虑流动的功能。死区时间参数 T * 由矩量法估计。给出了统计实验的结果。
更新日期:2020-05-25
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