求翻译：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。是什么意思？

In this paper, based on time series prediction methods, focus on the application arima (p, d, q) model the process of modeling, including access to data, data smoothing, arma model type identification, parameter estimation and model order, model testing Finally, a dynamic adjustment of channel servi

正在翻译，请等待...

This article has studied based on the time series forecast method, the key research applies the ARIMA(p, d, q) model modelling the process, including the gain data, data steady processing, the ARMA model type recognition, the parameter estimation and the model decides the step, the model examination

This study based on time series forecasting method, focus on the application of ARIMA (p,d,q) model, including smooth access to data, data processing, type identification, parameter estimation and model for the ARMA model order, model testing, and gives the model instance and, finally, ARIMA predict

正在翻译，请等待...