A hybrid exponentially weighted moving average chart for COM-Poisson distribution

被引：25
|
作者：
Aslam, Muhammad [1 ]
Khan, Nasrullah [2 ]
Jun, Chi-Hyuck [3 ]
机构：
[1] King Abdulaziz Univ, Dept Stat, Fac Sci, Jeddah 21551, Saudi Arabia
[2] Univ Vet & Anim Sci, Dept Stat, Jhang Campus, Lahore, Pakistan
[3] POSTECH, Dept Ind & Management Engn, Pohang 790784, South Korea
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2018年 / 40卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
Average run length; hybrid exponentially weighted moving average; Monte Carlo simulation; normal distribution; process monitoring;
D O I：
10.1177/0142331216659920
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We provide the complete design of a hybrid exponentially weighted moving average (HEWMA) control chart for COM-Poisson distribution. The necessary measures of the proposed control chart are given in this manuscript, and the average run lengths (ARLs) are determined through Monte Carlo simulation for various values of specified parameters. The performance of the proposed chart is compared with two existing control charts. The proposed chart is more efficient than these two existing charts in terms of ARLs; application of the proposed chart is described with the help of Montgomery's data (Introduction to Statistical Quality Control, John Wiley & Sons, New York, 2007).
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页码：456 / 461
页数：6
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