Abstract
The standard R&R study for evaluation of measurement systems assumes that participating observers constitute a random sample. Often there are only a few observers, all of them included in the study. An alternative measure for the gauge R&R is proposed for this situation, and it is shown that this may improve the perception of the quality of the measurement system markedly, especially with only a few observers. Finally it is shown that a simple estimator can be used, with a bias limited to just a few percent.
| Original language | English |
|---|---|
| Pages (from-to) | 323–331 |
| Number of pages | 9 |
| Journal | Quality Engineering |
| Volume | 15 |
| Issue number | 2 |
| Publication status | Published - Mar-2002 |
Keywords
- Random effects models
- Prediction intervals
- Mixed effects models
- Gauge R&R study
- Analysis of variance