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.
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.
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。
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