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Estimating Parameters of the Synchronous Twofold-stochastic Flow of Events

机译:事件的同步双重随机流的估计参数

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Consideration was given to estimation of the parameters of the synchronous twofold-stochastic flow of events which makes up a mathematical model of the information flow of demands circulating in the queuing systems and networks. Two variants were studied. For the first variant, the problem of optimal estimation of the parameters of a synchronous flow of events with a finite arbitrary number of states was solved. The second variant differs in that the event flow operates in the environment where part of events is lost during the so-called dead time. Consideration was given to a synchronous flow with two states. The problem of estimating the length of the dead time in the conditions of continued dead time was solved. The results of numerical estimation based on the simulation model of the synchronous flow were presented for both variants.
机译:考虑对事件的同步双重随机流的参数进行估计,这构成了在排队系统和网络中循环的需求信息流的数学模型。研究了两种变体。对于第一变体,解决了具有有限的任意数量状态的事件的同步流的参数的最优估计的问题。第二种变体的不同之处在于,事件流在所谓的“停滞时间”期间丢失部分事件的环境中运行。考虑了具有两个状态的同步流。解决了在连续停滞时间条件下估计停滞时间长度的问题。给出了两种变型的基于同步流模拟模型的数值估计结果。

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