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Monitoring the Weibull Shape Parameter by Control Charts for the Sample Range

机译:通过控制图监控样本范围的威布尔形状参数

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摘要

In this paper, we propose control charts for monitoring changes in the Weibull shape parameter β. These charts are based on the range of a random sample from the smallest extreme value distribution. The control chart limits depend only on the sample size, the desired stable average run length (ARL), and the stable value of β. We derive control limits for both one- and two-sided control charts. They are unbiased with respect to the ARL. We discuss sample size requirements if the stable value of β is estimated from past data. The proposed method is applied to data on the breaking strengths of carbon fibers. We recommend one-sided charts for detecting specific changes in β because they are expected to signal out-of-control sooner than the two-sided charts.
机译:在本文中,我们提出了用于监控威布尔形状参数β变化的控制图。这些图表基于最小样本极值分布的随机样本范围。控制图限制仅取决于样本大小,所需的稳定平均运行长度(ARL)和β的稳定值。我们导出单面和双面控制图的控制极限。他们对ARL没有偏见。如果β的稳定值是根据过去的数据估算的,我们将讨论样本量要求。该方法应用于碳纤维断裂强度数据。我们建议使用一面图表来检测β的特定变化,因为期望它们比两面图表更快地发出失控信号。

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