首页> 外文期刊>The Annals of Statistics: An Official Journal of the Institute of Mathematical Statistics >A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes
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A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes

机译:广义EWMA控制图及其与最佳EWMA,CUSUM和GLR方案的比较

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It is known that both the optimal exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are based on a given reference value delta, which, for the CUSUM chart, is the magnitude of a shift in the mean to be detected quickly. In this paper a generalized EWMA control chart (GEWMA) which does not depend on delta is proposed for detecting the mean shift. We compare theoretically the GEWMA control chart with the optimal EWMA, CUSUM and the generalized likelihood ratio (GLR) control charts. The results of the comparison in which the in-control average run length approaches infinity show that the GEWMA control chart is better than the optimal EWMA control chart in detecting a mean shift of any size and is also better than the CUSUM control chart in detecting the mean shift which is not in the interval (0.7842delta, 1.3798delta). Moreover, the GLR control chart has the best performance in detecting mean shift among the four control charts except when detecting a particular mean shift delta, when the in-control average run length approaches infinity.
机译:众所周知,最佳指数加权移动平均值(EWMA)控制图和累积和(CUSUM)控制图均基于给定的参考值增量,对于CUSUM图,这是要检测的均值的漂移幅度很快。本文提出了一种不依赖于增量的广义EWMA控制图(GEWMA)来检测均值漂移。我们在理论上将GEWMA控制图与最佳EWMA,CUSUM和广义似然比(GLR)控制图进行比较。控制中平均游程长度接近无穷大的比较结果表明,GEWMA控制图在检测任何大小的均值偏移方面均优于最佳EWMA控制图,并且在检测目标尺寸的平均偏移时也优于CUSUM控制图。不在区间(0.7842delta,1.3798delta)中的平均移位。此外,GLR控制图在检测四个控制图中的平均偏移方面具有最佳性能,但当检测到特定的平均偏移增量时(当控制内平均游程长度接近无穷大时除外)。

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