William Guthrie is the Chief of the Statistical Engineering Division in the National Institute of Standards and Technology’s Information Technology Laboratory (ITL).
Mr. Guthrie received a B.A. degree in mathematics from Case Western Reserve University, Cleveland, OH, in 1987 and an M.S. degree in statistics from The Ohio State University, Columbus, OH, in 1990. He joined the Statistical Engineering Division at the National Institute of Standards and Technology (NIST), Gaithersburg, MD in 1989.
He has collaborated with NIST scientists and engineers in a wide range of areas, applying statistical methods to solve problems in semiconductor and microelectronic metrology, building materials research, and chemical science. His statistical interests include uncertainty assessment, Bayesian statistics, design of experiments, calibration, modern regression methods, and statistical computation.
Technical Areas of Research and Consulting
- Uncertainty analysis
- Experiment design
- Bayesian methods
- Variance component models
- Regression
- Robust statistics
- Sequential statistics
Professional Activities and Societies and Standards Activities
- American Statistical Association, Fellow
-
- Chair, Natrella Scholarship Committee,ASA Quality and Productivity Section 2011-
- Member, Steering Committee for ASA Quality and Productivity Research Conference, 2008-
- Member, Natrella Scholarship Selection Committee, ASA Quality and Productivity Section, 2006-2010
- Program Chair, Joint Research Conference on Statistics in Quality, Industry, & Technology, 2010
- Publications Chair, ASA Section on Quality & Productivity, 2010
- Chair, Section on ASA Quality & Productivity, 2007
- Local Arrangements Chair, Spring Research Conference on Statistics in Industry & Technology, 2004
- Secretary, ASA Section on Quality and Productivity, 2001-2004
- Publications Chair, ASA Section on Physical and Engineering Sciences, 2001-2003
- Awards Chair, ASA Section on Physical and Engineering Sciences, 1999-2000
- Contributed Program Chair, Joint Research Conference on Statistics in Quality, Industry & Technology, 1996