控制图
非参数统计
休哈特个体控制图
统计过程控制
图表
参数统计
计算机科学
控制限值
过程(计算)
\条形图x和R
控制(管理)
EWMA图表
统计
数学
人工智能
操作系统
作者
Maoyuan Zhou,Qin Zhou,Wei Dong Geng
摘要
Statistical process control is widely used in industrial processes, service fields, among others. While parametric control charts are useful in certain processes, there is often a lack of enough knowledge about the process distribution. So, nonparametric control charts are needed in such situations. This paper develops a new nonparametric control chart based on the Ansari–Bradley nonparametric test and the effective change point model. Simulation results show that our proposed control chart is superior to other nonparametric control charts in monitoring process variability for most cases. Our proposed control chart is easy in computation, and powerful for monitoring process variability. Copyright © 2016 John Wiley & Sons, Ltd.
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