Classical estimator based modified control charts for phase-II monitoring in real life

被引：3

作者：

Jabeen, Riffat ^{[1
]}

Zaka, Azam ^{[2
]}

Khan, Kanwal Iqbal ^{[3
]}

机构：

[1] COMSATS Univ Islamabad, Dept Stat, Lahore Campus, Lahore, Pakistan

[2] Govt Grad Coll Sci, Dept Stat, Wahdat Rd, Lahore, Pakistan

[3] Univ Engn & Technol, Inst Business & Management, Lahore, Pakistan

来源：

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2022年 / 38卷 / 05期

关键词：

control chart; modified maximum likelihood estimator; percentile estimator; SHAPE PARAMETER; PERFORMANCE;

D O I：

10.1002/qre.3112

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We discuss some classical estimator based modified control charts for phase-II monitoring in real life. The modification of some existing control charts such as exponentially weighted moving average (EWMA) and extended exponentially weighted moving average (EEWMA) is proposed and compared for the situation when the assumption of normality is not fulfilled due to some unavoidable factors. We first estimate the shape parameter of power function distribution using percentile estimator and maximum likelihood estimator and then propose EWMA and EEWMA based on these estimators. Monte Carlo simulation studies are used to compare the introduced control charts. The findings will be helpful for the practitioners and statisticians to devise the real-life solution to the problems.

引用

页码：2862 / 2880

页数：19

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