The Statistical Engineering Division, part of NIST's Information Technology Laboratory, seeks to contribute to research in information technology, to catalyze scientific and industrial experimentation, and to improve communication of research results by working collaboratively with, and developing effective statistical methods for, NIST scientists and our partners in industry.
In carrying out this mission, SED collaborates in NIST measurement science and technology research programs to support U.S. industry through design of experiments, statistical modeling, and data analysis. We participate in ITL's interdisciplinary research and development teams to advance information technology; we contribute to the development of appropriate statistical methodology, building on a foundation of pertinent topics in probability and mathematical statistics; and we provide leadership and computational tools to facilitate the implementation of modern statistical design, analysis and process control procedures.
Below are a selection of SED’s many collaborative projects, showcasing how we work side-by-side with NIST and industry partners to advance measurement science through statistical modeling, experimental design, and data analysis.
Machine Learning and Threshold Analysis of Sensor Data for Cooktop Fire Prevention
Deep Learning for Footwear Matching in Forensics
Advancing Statistical Methods for Next-Generation Clock Networks
Charpy Impact Machine Verification Program
SED offers practical short courses on statistical methods and tools, reaching scientists at NIST, conferences, and government agencies.