In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
Objective The approach and procedure to fit time series with ARIMA models are discussed briefly. The application to forecast hepatitis B is given to help infectious diseases forecasting system.
目的阐述A RIMA模型拟合时间序列的方法和步骤，并将其应用于乙型肝炎的预测，为传染病预警系统提供决策依据。
Objective The approach and procedure to fit time series with ARIMA models are discussed briefly. The application to forecast hepatitis B is given to help infectious diseases forecasting system.
目的阐述A RIMA模型拟合时间序列的方法和步骤，并将其应用于乙型肝炎的预测，为传染病预警系统提供决策依据。
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