Abstract
A Markov chain approximation is used to determine the run length performance of a multivariate statistical process control chart. The Markov chain approach is widely used in the analysis of univariate control charts we extend the advantages of this type of analysis to a multivariate exponentially weighted moving averages control chart. The analysis can be applied whenever the multivariate control statistic can be modeled as a Markov chain and the run length performance depends on the off-target mean only through the noncentrality parameter.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1701-1706 |
| Number of pages | 6 |
| Journal | Journal of the American Statistical Association |
| Volume | 91 |
| Issue number | 436 |
| DOIs | |
| State | Published - Dec 1 1996 |
Keywords
- Average run length
- Exponentially weighted moving averages
- Multivariate control chart
- Statistical process control
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty