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- Title
A General Framework for Constructing Control Charts.
- Authors
Polansky, Alan M.
- Abstract
A general framework for the construction of control charts is presented. The method is based on using the density of the sample subgroup statistic as a measure of how unusual newly observed subgroups are. This methodology includes, as special cases, many common control chart techniques. The method is also easily applied to multivariate and multimodal situations. A non-parametric control chart is implemented by estimating the density of the sample subgroup statistic using a kernel estimator of the bootstrap distribution of the observed subgroup statistics. Several examples of the method are presented in the parametric and non-parametric situations. The potential performance of the non-parametric version of the method is demonstrated through an empirical study of average run length properties. Copyright © 2005 John Wiley & Sons, Ltd.
- Subjects
QUALITY control charts; MULTIVARIATE analysis; KERNEL functions; STATISTICAL bootstrapping; QUALITY control
- Publication
Quality & Reliability Engineering International, 2005, Vol 21, Issue 6, p633
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.680