- Distingished 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
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 (ICSA). 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 45: 142-149.
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, Volume 22,
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:
K. T. Fang, D. K. J. Lin, P. Winker and Y. Zhang.
2000. Uniform design: theory and application.
Technometrics 42: 237-248.
D. K. J. Lin. 1993. A new class of supersaturated
designs. Technometrics 35: 28-31.
Last updated: 27 April