Dennis Lin is a University Distinguished Professor Emeritus at Penn State.
Lin received his Ph.D. in Statistics from University of Wisconsin in 1988. He received his B.A. in Mathematics from National Tsinghua University in 1981.
His research focuses on statistical methodologies related to business, industry, and government. In particular, much of his work has been in the area of data mining; experimental design; quality assurance, including the quality-assurance method Six Sigma; statistical process control; reliability; and response-surface methodology -- a statistical technique for examining the relationships between “explanatory” and “response” variables and subsequently optimizing the response variables. Lin also uses supersaturated design, which allows him to investigate many variables using a relatively small number of experimental runs. To do his work, Lin makes use of statistical tools such as statistical modeling, number theory, Bayesian inference, optimal-design theory, optimization, and time-series analysis. He currently is working on problems related to dimensional analysis, internet search engines, and data science.
He has published nearly 250 Social Sciences Citation Index (SSCI) papers in a wide variety of journals. He currently serves or has served as an associate editor for more than 10 professional journals and was a co-editor for Applied Stochastic Models for Business and Industry.
Lin is an elected fellow of ASA, Institute of Mathematical Statistics (IMS), The American Society for Quality (ASQ) and RSS, an elected member of the International Statistical Institute (ISI), and a lifetime member of International Chinese Statistical Association (ICSA). He is an honorary chair professor for various universities, including a Chang-Jiang Scholar at Renmin University of China. Before joining the faculty at Penn State in 1995, Lin served as a faculty member at the University of Tennessee, Knoxville.
Honors and Awards
- The 2020 Deming Lecturer, Joint Statistical Meetings (Philadelphia, PA).
- The 2019 Yuan-Shin Chow Award, The Chinese Probability Society (Taiwan).
- The 2016 SPES Award (ASA).
- The 2015 Shewhart Medal, the American Society for Quality.
- The 2015 Brumbaugh Award, the American Society for Quality.
- The 2014 William G. Hunter Award, the American Society for Quality.
- The 2011 Don Owen Award, San Antonio Chapter, the American Statistical Association.
- Peng, J.Y. and Lin, Dennis K.J., (2020) “Small Screening Design When the Overall Variance is Unknown,” Journal of Statistical Planning and Inference, 205, 1—9.
- Peng, J.Y., Mukerjee, Rahul and Lin, Dennis K.J., (2019) “Design of Order-of-Addition Experiments,” Biometrika, 106, 683—694.
- Shen, W.J. and Lin, Dennis K.J. (2019) “Statistical Theories for Dimensional Analysis,” Statistica Sinica, 29, 527—550.
- Shen, Weijie and Lin, Dennis K.J. (2018) “A Conjugate Model for Dimensional Analysis,” Technometrics, 60, 79—89.
- Li, X.D., He, X., He, Y.Z. and Lin, Dennis K.J. (2017) “The Design and Analysis for the Icing Wind Tunnel Experiment of Deicing Coating,” Journal of American Statistical Association, 112, 1417—1429.
- Huang, Hengzhen, Lin, Dennis K.J., Liu, Min-Qian, and Yang, Jian-Feng, (2016) “Design and Analysis for Computer Experiments with Both Qualitative and Quantitative Variables,” Technometrics, 58, 495—507.
- Phoa, Frederick K.H. and Lin, Dennis K.J. (2015) “A Systematic Approach from the Construction of Definitive Screening Designs,” Statistica Sinica, 25, 853—861.
- Shen, W.J., Davis, T., Lin, Dennis K.J. and Nachtsheim, C.J. (2014) “Dimensional Analysis and Its Applications in Statistics,” Journal of Quality Technology, 46, 185—198. This paper won the 2015 ASQ Brumbaugh Award.
- Lin, Dennis K.J. and Shen, W.J. (2013) “Comments: Experimental Design for Engineering Dimensional Analysis,” Technometrics, 55, 281-285.
- Tang, Y., Xu, H.Q. and Lin, Dennis K.J. (2012) “Uniform Fractional Factorial Designs,” Annals of Statistics, 40, 891-907.
- Ying, W., Zhao Z.B. and Lin, Dennis K.J. (2012) “A General Class of Nonparametric L-1 Regression with Its Application to Profile Control Charts,” Annals of Applied Statistics, 6, 409-427.
STAT 597A - Intelligent Data Collection Methods (Spring, 2020)
STAT 512 - Design of Experiment
STAT 415 - Mathematical Statistics
MS & IS 501 - Statistical Research Methods
MS & IS 597 - Statistical Data Mining