本文研究的是相依随机变量的移动平均过程的完全收敛性。
In this paper, we make a study on the complete convergence of moving average processes of dependent random variables.
提出了当零售商采用一次平滑指数法或简单移动平均法获得需求信息的过程中，不存在波动放大现象。
It shows that the demand variability does not increase when the retailer relies on the simply exponentially weighted moving average or the simple moving average to forecast demand.
六西格玛黑带应能正确的将指数加权移动平均图应用到一个在数据上连续相关的过程。
The Six Sigma Black Belt should be able to correctly apply EWMA charts to a process with serial correlation in the data.
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