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- Title
A Comparison of Shewhart Individuals Control Charts Based on Normal, Non-parametric, and Extreme-value Theory<FN>This paper is based on a presentation given at the second ENBIS Conference, Rimini, September 2002 </FN>.
- Authors
Vermaat, M. B. (Thijs); Ion, Roxana A.; Does, Ronald J. M. M.; Klaassen, Chris A. J.
- Abstract
Several control charts for individual observations are compared. Traditional ones are the well-known Shewhart individuals control charts based on moving ranges. Alternative ones are non-parametric control charts based on empirical quantiles, on kernel estimators, and on extreme-value theory. Their in-control and out-of-control performance are studied by simulation combined with computation. It turns out that the alternative control charts are not only quite robust against deviations from normality but also perform reasonably well under normality of the observations. The performance of the Empirical Quantile control chart is excellent for all distributions considered, if the Phase I sample is sufficiently large. Copyright © 2003 John Wiley & Sons, Ltd.
- Subjects
QUALITY control charts; STATISTICAL process control; STATISTICAL bootstrapping; KERNEL functions; EXTREME value theory
- Publication
Quality & Reliability Engineering International, 2003, Vol 19, Issue 4, p337
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.586