ANALYSIS OF INTERLABORATORY COMPARISON DATA USING T-DISTRIBUTIONS |
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| Alistair B. Forbes |
- Abstract:
- This paper discusses the analysis of interlaboratory comparison data where there may be some doubt about the validity of the uncertainty statements. The analysis of repeated measurements drawn from a Gaussian distribution with unknown variance provides a model for the posterior adjustment of the input distribution associated with each participant. Importantly, the shapes of the input distributions are adjusted, not just their standard deviations.
- Keywords:
- Bayesian inference, interlaboratory comparisons, t-distributions, uncertainty evaluation
- Download:
- IMEKO-WC-2015-TC21-391.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015