趋势比率法是根据历史上各期的实际值，首先建立趋势预测模型，求得历史上各期的趋势值，然后以实际值除以趋势值，进行同月（季）平均，计算季节指数，最后用季节指数和趋势值结合来求预测值的方法。
测定季节变动对时间序列的影响，一般按同期平均法（原资料平均法）和趋势剔除法计算季节比率。
Measuring the seasonal variation in a time series, we generally use two methods to calculate seasonal indexes—average of original data, trend adjustment for average.
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.
本文研究过程中运用了相当的定量分析方法，包括：财务比较分析法、比率分析法、趋势分析法，沃尔分析法等。
The author utilizes many theoretical and quantitative tools in researching the topics, including financial compare analysis . proportion analysis . trend analysis, WALL analysis etc.
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