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文章简述了自回归AR(P)模型预测的基本理论,其方法是在历史数据中依次取出近期若干相继的数据,来分析它们之间的关系,并建立适合这种关系的随机过程模型。这种方法考虑到了时间序列的随机特征和统计特性,能
The paper briefly describes the basic theory of autoregressive AR(P) model prediction. The method is to take out several successive data in the historical data in order to analyze the relationship between them and establish a stochastic process model suitable for this relationship. This method takes into account the random characteristics and statistical characteristics of the time series.