Professor of Statistics and Supply Chain
- PhD: University of Wisconsin-Madison, 1988
Dr. Lin's general interests focus on statistical methodology
in business, industrial and government (BIG) applications.
Much of his work has been in the area of data mining,
experimental design, response surface methodology, quality
engineering, statistical process control and reliability.
These areas are heavily involved with statistical tools,
such as statistical modeling, Bayesian inference, optimal
design theory, optimization, and time series. He has
published over 100 papers in a wide variety of journals,
including Technometrics, Journal of the
Royal Statistical Society, Journal of Quality
Technology, IEEE Transaction on Reliability,
and Statistica Sinica.
Dr. Lin has developed a series of small-size experimental
designs for various stages of industrial problems. Specifically,
the area of supersaturated design which can investigate
k variables in only n(<<k)
experiments is a powerful tool for studying manufacturing
processes. Other research includes multiple response
surface reliability, Kalman filter, number theory, computer
experiments, and uniform design. Dr. Lin has conducted
numerous short courses on data mining and as senior
advisor in the Bureau of Statistics in China and Taiwan.
He has extensive experience in official statistics.
He is an honorary chair professor for various universities,
including National Chengchi University (Taiwan), Remin
University of China and XiAn Statistical Institute.
Currently, Dr. Lin serves in the following capacities:
associate editor for the American Statistician,
Journal of Data Science, International
Journal of Quality Management and Quality Technology,
Taiwan Outlook, and Statistica Sinica;
editorial review board for Journal of Quality Technology;
steering committee for the Quality and Productivity
Research Conference and the Conference on "Making
Statistics More Effective in Schools of Business."
He was chair of SPES-ASA (Section on Physical &
Engineering Sciences) and the Membership Committee of
American Statistical Association.
Dr. Lin has received the Outstanding Presentation Award
(SPES, ASA) and the Allen Keally Outstanding Teaching
Award (CBA, University of Tennessee). He is an elected
member of the International Statistical Institute (ISI),
elected Fellow of the American Statistical Association
(ASA), senior member of the American Society for Quality
(ASQ), fellow of the Royal Statistical Society (RSS),
and lifetime member
of the International Chinese Statistical Association
He is also the recipient of the 2004 Faculty Scholar
Medal Award at Penn State University.
J. J. Peterson and D .K. J. Lin. 2005. Statistical
inference for response surface optima. Response
Surface Methodology and Related Topics, ed. Andre
I. Khuri, World Scientific: Washington DC.
Li, W. W. and D. K. J. Lin. 2003. Optimal foldover
two-level fractional factorial designs. Technometrics
D. K. J. Lin. 2003. Industrial experimentation for
screening. Handbook of Statistics in Industry,
Chapter 2, pp.33-73, Volume 22, ed. C.R. Rao and R.
Khattree, North Holland: New York.
K. T. Fang and D. K. J. Lin. 2003. Uniform experimental
design and its applications in industry. Handbook
of Statistics in Industry, Chapter 4, pp. 131-170,
ed. C.R. Rao and R. Khattree, North Holland: New York.
S. D. Beattie, D. K. H. Fong and D. K. J. Lin. 2002.
A two-stage model selection strategy for supersaturation
designs. Technometrics 44: 55-63.
R. M. McGrath and D. K. J. Lin. 2001. Testing multiple
dispersion effects in unreplicated fractional factorial
designs. Technometrics 43: 406-414.
K. T. Fang, D. K. J. Lin, P. Winker and Y. Zhang. 2000.
Uniform design: theory and application. Technometrics
D. K. J. Lin. 1993. A new class of supersaturated designs.
Technometrics 35: 28-31.
Last updated: 27 April