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An Evaluation of the Double Exponentially Weighted Moving Average Control Chart

机译:双指数加权移动平均控制图的评估

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In this article we perform a careful investigation of the double exponentially weighted moving average (DEWMA) chart performance for monitoring the process mean. We compare the performance of this chart to the usual EWMA control chart based on zero-state and worst-case average run length (ARL) measures. We also evaluate the signal resistance measure of the DEWMA chart and compare its maximum value to that of the EWMA chart. We show that the superiority of the DEWMA chart over the simpler standard EWMA chart based on zero-state ARL performance disappears when the smoothing constant of the EWMA chart is chosen to give weights to past observations closer to those given by the DEWMA chart. Moreover, our results show that the standard EWMA chart has much better performance than the DEWMA chart in terms of worst-case ARL values, especially when small smoothing constants are used. We also demonstrate using an illustrative example that the DEWMA chart can build up an exceedingly large amount of inertia when used to monitor the process mean.
机译:在本文中,我们对双指数加权移动平均值(DEWMA)图表的性能进行了仔细研究,以监视过程平均值。我们将此图表的性能与基于零状态和最坏情况下的平均运行长度(ARL)度量的常规EWMA控制图进行比较。我们还评估了DEWMA图的信号电阻测度,并将其最大值与EWMA图的最大值进行比较。我们显示,当选择EWMA图表的平滑常数以使过去的观察结果的权重更接近DEWMA图表给出的权重时,DEWMA图表相对于基于零状态ARL性能的更简单的标准EWMA图表的优势消失。此外,我们的结果表明,就最坏情况的ARL值而言,标准EWMA图的性能要比DEWMA图好得多,尤其是在使用较小的平滑常数时。我们还使用一个说明性示例演示了DEWMA图在用于监视过程平均值时可以建立非常大的惯性。

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