

Thomas Mathew, ASA Fellow and professor of statistics in the department of mathematics and statistics at the University of Maryland Baltimore County, gave a talk on tolerance intervals and regions. In his talk, he defined tolerance intervals and regions, explained how to compute them for univariate and multivariate populations, and illustrated their use with applications such as the following:
- Testing the ballistic resistance of personal body armor
- Assessing the distribution of the peak cladding temperature of a nuclear power plant below a regulatory requirement
- Computing reference intervals and regions in laboratory medicine
Mathew is the co-author of two books, Statistical Tests for Mixed Linear Models and Statistical Tolerance Regions: Theory, Applications and Computation. He is also a fellow of the Institute of Mathematical Statistics.
A recording and materials from Mathew’s webinar are available on the SDNS YouTube channel, along with recordings from the following past speakers:
- “Modeling Spectral Data using JMP Pro 17,” Chris Gotwalt, SAS Institute
- “MuyGPs: Scalable Gaussian Process Model Estimation with Uncertainty Quantification,” Amanda Muyskens, Lawrence Livermore National Laboratory
- “Introduction to Model Uncertainty and Averaging for Categorical Data,” Chris Franck, Virginia Tech
- “A Random Walk in the World of Graph Analytics,” Cetin Savkli, Johns Hopkins University
Derek Tucker of Sandia National Laboratories will present at the webinar in December. His talk, titled “Elastic Bayesian Model Calibration,” will give a simple framework for Bayesian model calibration when the model responses are misaligned functional data. To register for this free webinar, visit the SDNS Community page.
For further information, contact Elise Roberts.

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