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Efficient power computation for r out of m runs rules schemes

Author

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  • Rashid Mehmood
  • Muhammad Riaz
  • Ronald Does

Abstract

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. $${\bar{{X}} ,R ,S}$$ and S 2 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. Copyright The Author(s) 2013

Suggested Citation

  • Rashid Mehmood & Muhammad Riaz & Ronald Does, 2013. "Efficient power computation for r out of m runs rules schemes," Computational Statistics, Springer, vol. 28(2), pages 667-681, April.
    • Handle: RePEc:spr:compst:v:28:y:2013:i:2:p:667-681
    DOI: 10.1007/s00180-012-0322-4
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    References listed on IDEAS

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    1. Willem Albers & Wilbert C. M. Kallenberg, 2006. "Self‐adapting control charts," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 292-308, August.
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    4. Berens, Philipp, 2009. "CircStat: A MATLAB Toolbox for Circular Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i10).
    5. Luke Tierney, 2009. "Code analysis and parallelizing vector operations in R," Computational Statistics, Springer, vol. 24(2), pages 217-223, May.
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