Christopher J. Nachtsheim is the Frank A. Donaldson Chair of Operations Management and Chair of the Supply Chain and Operations Department in the Carlson School of Management at the University of Minnesota. Dr. Nachtsheim received and his Ph.D. in Operations Research from the University of Minnesota, served as staff member in the Statistics Group at Los Alamos National Laboratory from 1978-1981, and as Senior Statistician at General Mills from 1982-1984. In 1984 he joined the University, serving as Chair in the Department of Operations and Management Science from 1993-1996 and Associate Dean of Faculty and Research from 1996-2000. Dr. Nachtsheim's teaching and research interests center on the optimal design of industrial experiments, regression and predictive modeling, and quality management. Among his major publications are two texts: Applied Linear Statistical Models, 5th Edition, 2005, Richard D. Irwin, and Applied Linear Regression Models, 4th Edition, 2004, Richard D. Irwin (both with John Neter, Michael Kutner, and William Li). Professor Nachtsheim has published over 50 articles in the statistics literature and has served as associate editor for many of the top journals in his field, including Journal of the American Statistical Association, Technometrics, Journal of Quality Technology, Statistics and Computing, and Journal of Statistical Computation & Simulation. He served as Examiner, Malcolm Baldrige National Quality Award in 1996. He is a three-time recipient (1991, 2009, and 2011) of the Brumbaugh Award of the ASQ for best paper published in the area of industrial quality control, two-time recipient of the Lloyd S. Nelson Award of the ASQ for the published paper having the greatest impact on practitioners (2010 and 2012), recipient of the Jack Youden Prize for the best expository paper published in Technometrics in 2011, and the recipient of the 1992 ASME (CAE/CAD/CAM) National Best Paper Award. Dr. Nachtsheim is a Fellow of the American Statistical Association.
Published Books and Book Chapters
Applied Linear Statistical Models, 5th ed., C. J. Nachtsheim, J. Neter, M. Kutner, and W. Li (Richard D. Irwin, 2006).
Applied Linear Regression Models, 4th ed., C. J. Nachtsheim, J. Neter, M. Kutner, and W. Wasserman (Richard D. Irwin, 2005).
"A Comparison of Algorithms for Constructing Exact D-optimal Designs," R. D. Cook and C. J. Nachtsheim, Technometrics, Vol. 22, No. 3, August 1980), pp. 315-324.
"The Coordinate Exchange Algorithm for Costructing Exact Optimal Experimental Designs," R. K. Meyer and C. J. Nachtsheim, Technometrics, Vol. 37, No. 1, (Feb 1995), pp. 60-60.
"Sparse Sliced Inverse Regression," L. Li and C. J. Nachtsheim, Technometrics, Vol. 48, No. 4, (November 2006), pp. 503-510.
"Split-plot designs: What, Why, and How.," B. Jones and C. J. Nachtsheim, Journal of Quality Technology, Vol. 41, No. 4, (October 2009), pp. 340-361.
"When is R2 Appropriate for Comparing Customer and Supplier Measurement Systems?", C. J. Nachtsheim and K. E. Becker, Quality and Reliability Engineering International, Volume 27, Issue 8, (April 2011), pp. 1025-1031.
"Efficient Designs with Minimal Aliasing," B. Jones and C. J. Nachtsheim, Technometrics, Vol. 53, No. 1, (February 2011), pp. 62-61.
"A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects", B. Jones and C. J. Nachtsheim, Journal of Quality Technology, Vol. 43, No. 1, (2011), pp. 2-15.
"Experimental Design for Engineering Dimensional Analysis," M. Albrecht, C. J. Nachtsheim, T. Albrecht, and R. D. Cook, Technometrics, tentatively accepted.
Chair, Supply Chain and Operations Department
Scholarly and Professional Service
Associate editor, American Statistician; Department editor, Journal of Quality Technology
Optimal experiment design, robust design, quality control. predictive modeling, data mining, conjoint analysis and the design of discrete choice experiments