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 |
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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