ANALYSIS OF INTERLABORATORY COMPARISON DATA USING T-DISTRIBUTIONS

• 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:

  _unreg_wc-2015.391

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