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A Bayesian Approach to Calibration Intervals and Properly Calibrated Tolerance Intervals

Summary: [This abstract is based on the authors' abstract.]

Measuring devices often measure a quantity of interest indirectly, requiring a calibration that relates an observed measurement to the true quantity. A Bayesian approach to inference is considered in which there is a calibration relationship between measured and true quantities of interest. This approach easily handles a general calibration relationship, such as a nonlinear one, with nonnormal errors. Three examples are presented and implemented using WinBUGS software.

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  • Topics:
  • Keywords: Bayesian methods,Calibration,Nonnormal distribution curve,Lognormal distribution,Tolerance
  • Author: Hamada, M.; Pohl, A.; Spiegelman, C.; Wendelberger, J.
  • Journal: Journal of Quality Technology