Abstract
For attribute data with (very) small failure rates control charts based on subsequent groups of r failure times, for some r >= 1, have been shown to be attractive. This especially holds for charts which stop once the maximum (MAX) of such a group is sufficiently small, as this choice allows a nonparametric adaptation already for Phase I samples of ordinary size. The choice of r is dictated by the suspected rate of change in failure rate once the process goes out-of-control: for large (small) changes, r should be small (large). Typically,the actual rate of change will be unknown and hence some flexibility w.r.t. the choice of r seems advisable. In the present paper this goal is achieved by mixing a MAX-chart for a large r with one for which r is relatively small.
| Original language | English |
|---|---|
| Place of Publication | Enschede |
| Publisher | University of Twente |
| Number of pages | 13 |
| Publication status | Published - Jan 2012 |
Publication series
| Name | Memorandum |
|---|---|
| Publisher | University of Twente, Department of Applied Mathematics |
| No. | 1972 |
| ISSN (Print) | 1874-4850 |
Keywords
- Order statistics
- Average run length
- MSC-62P10
- Sets method
- Statistical process control
- Health care monitoring
- High quality processes
- Estimated parameters
Fingerprint
Dive into the research topics of 'MIXMAX charts'. Together they form a unique fingerprint.Research output
- 1 Article
-
MIXMAX charts
Albers, W., 2012, In: Advances and applications in statistics. 31, 2, p. 77-101 25 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver