Statistical thinking for adding more sensors in a monitoring application

Key point

This article illustrates the use of statistical thinking to assess the impact of adding another sensor in a monitoring application, such as detecting an illegal diversion of nuclear material in a reprocessing plant.

Acknowledgments

We thank C. C. Essix for her support and encouragement.

Additional information

Notes on contributors

M. S. Hamada

M. S. Hamada is a scientist and holds a PhD in Statistics from the University of Wisconsin-Madison. He is a Fellow of the American Statistical Association and of the American Society for Quality. His research interests include design and analysis of experiments, measurement system assessment, quality control, and reliability.

B. P. Weaver

B. P. Weaver is a scientist and holds a PhD in Statistics from Iowa State University. His research interests include measurement error, measurement system assessment, reliability, and astrostatistics.