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A Phase I nonparametric Shewhart-type control chart based on the median

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  • M. A. Graham
  • S. W. Human
  • S. Chakraborti

Abstract

A nonparametric Shewhart-type control chart is proposed for monitoring the location of a continuous variable in a Phase I process control setting. The chart is based on the pooled median of the available Phase I samples and the charting statistics are the counts (number of observations) in each sample that are less than the pooled median. An exact expression for the false alarm probability (FAP) is given in terms of the multivariate hypergeometric distribution and this is used to provide tables for the control limits for a specified nominal FAP value (of 0.01, 0.05 and 0.10, respectively) and for some values of the sample size (n) and the number of Phase I samples (m). Some approximations are discussed in terms of the univariate hypergeometric and the normal distributions. A simulation study shows that the proposed chart performs as well as, and in some cases better than, an existing Shewhart-type chart based on the normal distribution. Numerical examples are given to demonstrate the implementation of the new chart.

Suggested Citation

  • M. A. Graham & S. W. Human & S. Chakraborti, 2010. "A Phase I nonparametric Shewhart-type control chart based on the median," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1795-1813.
    • Handle: RePEc:taf:japsta:v:37:y:2010:i:11:p:1795-1813
    DOI: 10.1080/02664760903164913
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    References listed on IDEAS

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    1. S. Chakraborti & P. van der Laan & M. A. van de Wiel, 2004. "A class of distribution‐free control charts," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(3), pages 443-462, August.
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