The 33rd Quality & Productivity Research Conference will be held at the DoubleTree by Hilton in Tempe, AZ on June 14-16, 2016. A short course on "Assessing Model Uncertainty in Applied Bayesian Data Analysis" by Will Guthrie from the Statistical Engineering Division at National Institute of Standards and Technology will be offered on June 13th.
The theme of this year's conference is Integrating Quality and Statistics: A Transformative Alliance. The goal of the conference is to stimulate interdisciplinary research among statisticians, scientists, and engineers in quality and productivity, industrial needs, and the physical and engineering sciences. Statistical issues and research approaches drawn from collaborative research will be highlighted. Those interested in contributing a talk for the 2016 QPRC should review the instructions for submitting an abstract.
Participants will also be invited to submit full papers of their presentations for possible publication in a special issue of Applied Stochastic Models in Business and Industry (see the flyer for more information).
This year, the conference is pleased to honor Dr. Christine Anderson-Cook. Christine Anderson-Cook has been a research scientist in the Statistical Sciences Group at Los Alamos National Laboratory since 2004. She currently leads projects in the areas of complex system reliability, non-proliferation, malware detection and statistical process control. Before joining LANL, she was a faculty member in the Department of Statistics at Virginia Tech for 8 years. Her research interests include response surface methodology, design of experiments, reliability, multiple criterion optimization and graphical methods.
She has authored more than 130 articles in statistics and quality peer-reviewed journals, and has been a long time contributor to the Quality Progress Statistics Roundtable column. She has co-authored a popular book on Response Surface Methodology with Raymond Myers and Douglas Montgomery. She currently serves on the editorial boards of Technometrics, Journal of Quality Technology, Quality Engineering and Quality and Reliability Engineering International. She edited a special issue in Quality Engineering in 2012 on Statistical Engineering with Lu Lu.
She is an elected fellow of the American Statistical Association and the American Society for Quality. In 2012 she was honored with the ASQ Statistics Division William G. Hunter Award. She is also a two-time recipient of the American Society for Quality Chemical and Process Industries Division Shewell Award, for best paper at the Fall Technical Conference. In 2011 she received the 26th Annual Governor’s Award for Outstanding New Mexico Women. At LANL, she has been recognized by the LANL STAR program, and named Outstanding Student Mentor and Distinguished Postdoc Mentor.
On the evening of Wednesday, June 15, attendees are invited to attend a presentation and reception at the Marston Exploration Theater, a part of the School of Earth and Space Exploration at ASU. A reception and self-guided tour of exhibits will follow a live-presented show.
Title: "Assessing Model Uncertainty in Applied Bayesian Data Analysis"
Will Guthrie - Statistical Engineering Division at National Institute of Standards and Technology
This course will review and compare the implementation of some practical methods for assessing model uncertainty in Bayesian data analysis using concrete examples from NIST work and other sources.
Tour and Reception