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首页> 外文期刊>Journal of Mathematical Sciences >PARAMETER ESTIMATION PROBLEM OF A DISTRIBUTION MODEL OF OUTGOING TRAFFIC VOLUME FROM COMPUTER NETWORK HOSTS
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PARAMETER ESTIMATION PROBLEM OF A DISTRIBUTION MODEL OF OUTGOING TRAFFIC VOLUME FROM COMPUTER NETWORK HOSTS

机译:计算机网络主机出站流量分布模型的参数估计问题

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摘要

On the basis of extensive statistical data, this paper proposes a mathematical model to describe the volume probability distributions of outgoing traffic from computer network hosts. The proposed model is based on both the Gaussian distribution of probabilities and the unknown asymmetric distribution. Here the portion of the observations in the joint sample related to the unknown distribution is relatively large. Preliminary estimates are given for the parameters of the proposed model, and the problem of finding in some sense, optimal estimates and studying their properties is posed.
机译:在大量统计数据的基础上,本文提出了一个数学模型来描述计算机网络主机传出流量的数量概率分布。所提出的模型基于概率的高斯分布和未知的不对称分布。在这里,联合样本中与未知分布有关的观测部分相对较大。对所提出模型的参数进行了初步估计,提出了在某种意义上寻找最优估计并研究其性质的问题。

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  • 来源
    《Journal of Mathematical Sciences》 |2013年第6期|919-923|共5页
  • 作者

    A. A. Makarov; G. Simonova;

  • 作者单位

    National Research University Higher School of Economics, Moscow, Russia;

    National Research University Higher School of Economics, Moscow, Russia;

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  • 正文语种 eng
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