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Nonparametric EWMA chart for simultaneous monitoring of event frequency and magnitude

机译:非参数EWMA图表,用于同时监视事件的频率和大小

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Traditionally, control charts for joint monitoring of the event frequency and magnitude are designed on the assumption of a parametric distribution. However, when there is a lack of knowledge about the underlying distribution, the parametric control charts may be not suitable in some real applications. Therefore, distribution free control charts have attached much attention in recent years. In this paper, we propose a nonparametric EWMA chart based on Mathur statistic. The control limits can be obtained via simulation method. Some in control and out of control performances are discussed and the results indicate the proposed chart can successfully detect shifts in different general bivariate processes. Finally, an example is given to illustrate the implementation of the proposed method.
机译:传统上,用于联合监视事件频率和大小的控制图是在参数分布的假设下设计的。但是,当缺乏有关基础分布的知识时,参数控制图可能不适用于某些实际应用。因此,近年来,无分布控制图备受关注。在本文中,我们提出了基于Mathur统计量的非参数EWMA图表。控制极限可以通过模拟方法获得。讨论了一些控制中和失控性能,结果表明所提出的图表可以成功地检测出不同的一般双变量过程中的偏移。最后,给出一个例子来说明所提出方法的实现。

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