Efficient power computation for r out of m runs rules schemes

被引:0
作者
Rashid Mehmood
Muhammad Riaz
Ronald J. M. M. Does
机构
[1] Quaid-i-Azam University,Department of Statistics
[2] Islamia University Bahawalpur Campus,Department of Commerce
[3] King Fahd University of Petroleum and Minerals,Department of Mathematics and Statistics
[4] IBIS UvA,Department of Quantitative Economics
[5] University of Amsterdam,undefined
来源
Computational Statistics | 2013年 / 28卷
关键词
Control charts; Efficient code; Normal and non-normal distributions; Power; language; Runs rules;
D O I
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中图分类号
学科分类号
摘要
In this article we develop a power computation code in the R language which provides an easy to use tool to researchers in designing Shewhart control charts. It enables researchers to use different existing and newly introduced sensitizing rules and runs rules schemes designed for Shewhart-type control charts for location and spread. The code provides researchers to compute the power for different options of r out of m rules/schemes. The code is flexible to apply for any sample size, false alarm rate, type of control limits (one- or two-sided), amount of shift in the process parameters and a variety of popular distributions for commonly used Shewhart-type control charts (i.e.\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\bar{{X}} ,R ,S}$$\end{document} and S2 charts). These mentioned benefits of the developed functional code are only partially found in features of the existing software packages and these programs may be enhanced by adding the features of the developed code as a function in their libraries dealing with quality control charting.
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页码:667 / 681
页数:14
相关论文
共 28 条
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