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Abstract:
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Tolerance regions (or tolerance intervals in the univariate setting) characterize where at least a proportion of the sampled population falls with a given level of confidence. They are widely employed for numerous diverse applications in areas like quality control, environmental monitoring, engineering, and medical device validation. This roundtable event will aim to strengthen communication between researchers and practitioners who utilize statistical tolerance regions to address important practical problems. This will be accomplished in two segments. First, there will be a discussion about gaps in statistical tolerance regions methodology that need to be addressed for more complex settings, such as multivariate parametric distributions, missing data settings, and advanced statistical models. Second, there will be a discussion about computational tools that practitioners would like to have added to the R package “tolerance,” which is authored and maintained by this roundtable’s leader.
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