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Adam L. Pintar

was born in Oklahoma and grew up in southeast Kansas. He earned a B.S. and M.S in Mathematics from Pittsburg State University in 2003 and 2004, respectively. He also earned a M.S. and Ph.D. in Statistics from Iowa State University in 2007 and 2010, respectively. At Pittsburg State University, Adam served as a Teaching Assistant, and at Iowa State University, he served as both a Teaching Assistant and a Statistical Consultant. Adam has also served as a Student Guest Scholar and a Student Intern in the Statistical Sciences Group at the Los Alamos National Laboratory during the summers of 2008 and 2009, respectively. Adam has been a Mathematical Statistician with NIST's Statistical Engineering Division since October 12, 2010. He is also a member of the American Statistical Association and the American Society for Quality (ASQ), and is currently serving as the chair for the Statistics Division of the ASQ.

Professional Interests

  • Model Selection
  • Bayesian Methods
  • Experiment Design
  • Statistical Computing
  • Robust Parameter Design
  • Measurement Uncertainty
  • Environmental Statistics

Other Interests

  • Tennis
  • Disk Golf
  • Kayaking
  • Hiking

NIST Project Web Pages

Latest Publications

  • Z. H. Levine and A. L. Pintar (accepted 2015) A Fixed-memory Moving, Expanding Window for Obtaining Scatter Corrections in X-Ray CT and Other Stochastic Averages. Computer Physics Communications.
  • Z. H. Levine, B. L. Glebov, A. L. Pintar, and A. L. Migdall (2015) Absolute calibration of a variable attenuator using few-photon pulses, Opt. Express, 23, 16372 – 16382.
  • N. F. Zhang and A. L. Pintar (2014) Monitoring Process Variability for Stationary Process Data. Quality and Reliability Engineering International, online early view.

Latest Presentations

  • A. L. Pintar and E. Simiu, Development of Extreme Non- Hurricane Wind Speed Maps for Structural Design from Meteorological Station Measurements in the Contiguous United States, at the Fall Technical Conference on October 3, 2014 in Richmond, Virginia.
  • A. L. Pintar and E. Simiu, A Two Stage Approach to Mapping Extreme Non-hurricane Wind Speed over the Contiguous United States, at the European network of business and industrial statisticians conference on September 23, 2014 in Linz, Austria.
  • A. L. Pintar and D. Wang, Errors in Variables and Ridge Regression for Structural Data from Synthesized Amorphous Calcium Phosphate, at the Joint Research Conference on June 26, 2014 in Seattle, WA.

CV

Adam Pintar

Publications

Validating Predictive Models with Outdoor Data

Author(s)
Christopher C. White, Donald L. Hunston, Li Piin Sung, Hsiang C. Hsueh, Adam L. Pintar, Deborah S. Jacobs
The NIST service life prediction program has demonstrated success in producing validated predictions for the property change resulting from outdoor exposure for
Created October 9, 2019