结论：移动平均比率法可以为我们提供较准确的预测数据，为医院管理提供决策依据。
Conclusion: Moving average rate method can provide precise data for us and it can be used for reference for hospitals management.
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.
结论移动平均比率法综合考虑长期、季节、周期及随机趋势，预测效果较好。
Conclusions Moving seasonal mean ratio method could consider secular, seasonal, cyclic and random tendencies of time-series data together and could serve as a useful tool for prediction.
应用该方法，对单井产量及日产油能力进行了预测。实例证明，采用移动平均法得到的预测值是较真实的。
The paper predicts per well production and oil productive capacity per day by moving average method, the example demonstrates predictive from moving average method is relative truth.
方法用季节预测法中的移动平均比率法计算趋势值与调整月指数 ，最后应用模型。
Methods The trend values were calculated and the monthly indexes were adjusted with moving average method of season prediction method, and then the model was applied.
本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。
Through the data obtained by fieldwork, the paper forecasts the short-term traffic by three methods: moving-average method, index-smoothing method, AR model method.
本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。
Through the data obtained by fieldwork, the paper forecasts the short-term traffic by three methods: moving-average method, index-smoothing method, AR model method.
应用推荐