Bio of Dennis Lin
| Search People |
|---|
 |
Dennis Lin |
|---|---|
|
University Distinguished Professor of Statistics and Supply Chain Management |
Personal Homepage:
http://www.stat.psu.edu/people/faculty/dlin.html
Introduction
Dr. Lin is a University Distinguished Professor of Statistics and Supply Chain Management at Penn State. He is an elected fellow of the American Statistical Association (ASA), an elected member of International Statistical Institute (ISI), a senior member of American Society of Quality (ASQ), a lifetime member of International Chinese Statistical Association (ICSA), a fellow of the Royal Statistical Society, and has received the Most Outstanding Presentation Award from SPES, ASA. He is also an adjunct professor at Department of Statistics, as well as Department of Industrial Manufacturing Engineering at Penn State. He has published near 100 professional articles. Dr. Lin is an honorary chair professor for various institutions, including XiAn Statistical Institute, Remin University of China and National Chengchi University (Taiwan). He has received Penn State Faculty Scholar Medal for outstanding research work in 2004.
Current Research
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. He is currently working on RFID and Search Engine problems.
Expertise
Quality Assurance & Six-Sigma
Design of Experiment
Response Surface Methodology
Statistical Data Mining
Industrial Statistics
BIG (Business, Indusrial & Government) Statistics
Publication List
D. Lin and W.W. Li, "Optimal Foldover Two-Level Fractional Factorial Designs", Technometrics, 1/1/2003, 45, 142-149.
D. Lin, J. Liechty and J. McDermott, "Single-Pass Low-Storage Arbitrary Quantile Estimation for Massive Datasets", Statistics & Computing, 1/1/2003, 13, 91-100.
D. Lin, E. Stavrulaki and D.K.H. Fong, "Two-Resources Stochastic Capacity Planning Incorporating Prior Information", Journal of the Operation Research Society, 1/1/2003, 54, 1198-1208.
D. Lin and R. Li, "Analysis Methods for Supersaturated Design: Some Comparisons", Journal of Data Science, 1/1/2003, 1, 103-121.
D. Lin, W.W. Li and K. Ye, "Optimal Foldover Plans for Non-Regular Orthogonal Designs", Technometrics, 1/1/2003, 45, 347-351.
D. Lin and R.N. McGrath, "Analysis of Location and Dispersion Effects in Unreplicated Fractional Factorial Designs", Statistics and Probability Letters, 1/1/2003, 65, 369-377.
D. Lin, K.T. Fang and Q. Hong, "A Note on Optimal Foldover Design", Statistics and Probability Letters, 1/1/2003, 62, 245-250.
D. Lin, K.T. Fang and M.Q. Liu, "Optimal Mixed-Level Supersaturated Designs and Computer Experiment", Metrika, 1/1/2003, 58, 279-291.
D. Lin, A.B. Yeh, H.H. Zhou and C. Venkataramani, "A Multivariate Exponentially Weighted Moving Average Control Chart for Monitoring Process Variability", Journal of Applied Statistics, 1/1/2003, 30, 507-536.
D. Lin, J. Chen and D. Thomas, "On the single item fill rate for a finite horizon", Operation Research Letters, 1/1/2003, 31, 119-123.
D. Lin, C.X. Ma and K.T. Fang, "A Note on Uniformity and Orthogonality", Journal of Statistical Planning and Inference, 1/1/2003, 113, 323-334.
D. Lin, "Industrial Experimentation for Screening", Handbook of Statistics in Industry, ed. C.R. Rao and R. Khattree, 1/1/2003, 22, 33-73.
D. Lin and K.T. Fang, "Uniform Experimental Design and Its Applications in Industry", Handbook of Statistics in Industry, ed. C.R. Rao and R. Khattree, 1/1/2003, 22, 131-170.
Editorship
The American Statisticians
Taiwan Outlook
International Journal of Quality Technology & Quality Management
Statistica Sinica
The American Statistician
Journal of Data Science
Journal of Quality Technology
Education
Ph.D.,
Statistics,
University of Wisconsin-Madison,
1988
B.S.,
Mathematics,
National Tsing Hua University (Taiwan),
1981
Courses
MS&IS 200, Introduction to Business Statistics
SC&IS 597D, Data Mining for Busiess Applications
SC&IS 597B, Data Management and Statistical Analysis