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Sale forecasting method in dynamic environment based on ARMA(1,1)

机译:基于ARMA(1,1)的动态环境中的销售预测方法

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Sale forecasting is a difficult thing because of the dynamic sale environment and inefficient sale structure. Considering the short of circle and irregular factor in multiplication model, this paper uses the ARMA (1,1) model to forecast the circle and irregular factor separated from multiplication model. The method is proved effective according to result of the contrast analysis on sale data of 27 month of some product. The use of the method can improve the forecasting accuracy and has great significance for making plan of manufacturing and purchase.
机译:由于动态的销售环境和低效的销售结构,销售预测是一件困难的事情。考虑到乘法模型中圆和不规则因子的不足,本文使用ARMA(1,1)模型来预测从乘法模型中分离出来的圆和不规则因子。根据对某产品27个月销售数据的对比分析结果,证明该方法是有效的。该方法的使用可以提高预测的准确性,对制定生产计划和采购计划具有重要意义。

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