时间序列预测法其实是一种回归预测方法,属于定量预测,其基本原理是:一方面承认事物发展的延续性,运用过去的时间序列数据进行统计分析,推测出事物的发展趋势;另一方面充分考虑到由于偶然因素影响而产生的随机性,为了消除随机波动产生的影响,利用历史数据进行统计分析,并对数据进行适当处理,进行趋势预测。
运用时间序列预测法对环渤海地区主要航线的客(车)运量进行了预测;
The prediction was made in the volume of ferry in main routes by Time Sequence Prediction method.
移动平均法是一种时间序列预测法,当时间序列没有明显的趋势变动时,使用移动平均就能够准确地反映实际情况。
Moving average method is one of time series forecasting method, if time series have no apparent tendency moving, using moving average method can accurately reflect actual situation.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测,为原始非平稳时间序列的预测应用拓展了空间。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
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