Purpose of the paper: The paper presents a real-time online prediction model for network traffic based on ARMA, deriving analysis of the prediction model is carried out;
提出基于ARMA的网络流量实时在线预测模型，并对该预测模型进行了推导分析；
The result showed that the model had a good prediction, and Perceive Risk and Trust were the driving forces to lead online shopping.
结果显示研究模型具有良好的预测性，感知风险和信任是消费者网上购买行为的重要影响变量。
The model can be applied for online prediction or off-line calculation, which provides an important basis to evaluate the security and reliability of power plant boiler.
模型即可用于在线预测也可用于离线分析计算，为锅炉安全性与可靠性评价提供重要依据。
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