Presenter: Caleb King

In this talk, I’ll be giving a description of the Statistical Engineering (SE) Framework. The first part of the talk is based on the finding of a working group of several members of ISEA. This working group was assigned the task of determining the root causes of confusion surrounding the perception of SE and ISEA. One of the key findings of that group was that much of the confusion involved misperceptions around the SE Framework. In the second part of the talk, I’ll illustrate an appropriate use of the framework with a case study in statistical software testing.

Dr. Caleb King is a Research Statistician Developer for the DOE and Reliability Group at JMP Statistical Discovery, LLC. Prior to his time at JMP, he worked as a senior statistician at Sandia National Laboratories. Dr. King received his M.S. and Ph.D. in Statistics from Virginia Tech, specializing in accelerated life test planning and reliability analysis. His other research interests include design of experiments and small sample theory.

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