Design of a multivariate exponentially weighted moving average control chart with variable sampling intervals

被引：0
作者：
Ming Ha Lee
Michael B. C. Khoo
机构：
[1] Swinburne University of Technology Sarawak Campus,Faculty of Engineering, Computing and Science
[2] Universiti Sains Malaysia,School of Mathematical Sciences
来源：
Computational Statistics | 2014年 / 29卷
关键词：
Average time to signal; Multivariate EWMA chart; Statistical design; Variable sampling intervals;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study develops a procedure for the statistical design of the variable sampling intervals (VSI) multivariate exponentially weighted moving average (MEWMA) chart. The VSI MEWMA chart is compared with the corresponding fixed sampling interval (FSI) MEWMA chart, in terms of the steady-state average time to signal for different magnitude of shifts in the process mean vector. It is shown that the VSI MEWMA chart performs better than the corresponding standard FSI MEWMA chart for detecting a wide range of shifts in the process mean vector.
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页码：189 / 214
页数：25
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