a本文研究了基于时间序列的预测方法,重点研究应用ARIMA(p,d,q)模型建模的过程,包括获取数据、数据平稳化处理、ARMA模型类型识别、参数估计与模型定阶、模型检验,并给出建模实例;最后,基于用户量预测模型ARIMA(0,2,1)提出一种动态调整频道服务带宽算法。 This article has studied based on the time series forecast...
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