Dennis K. J. Lin
Decision Sciences · Purdue University West Lafayette
Publications
310
Citations
8,971
Est. group size
—
Recurring co-author estimate
Active years
38
Publishing since 1989
Dennis K. J. Lin works in decision sciences, focusing on statistical methods for designing and analyzing experiments, including how to plan complex experiments (such as those involving ordering of steps, computer simulations, and quality control) so that they yield reliable information with minimal cost. His work also touches on quality engineering, reliability analysis, and how classical statistical methods relate to newer machine learning and big data approaches.
Publication output has remained fairly steady over the last decade, fluctuating between roughly 5 and 14 papers per year without a clear long-term upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Optimal three-level blocked designs via general minimum lower-order confounding criterion
Statistics & Probability Letters · 2026
- Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?
Applied Stochastic Models in Business and Industry · 2025
- Order‐of‐Addition Experiments: A Review and Some Recommendations
Wiley Interdisciplinary Reviews Computational Statistics · 2025
- Novel subsampling strategies for heavily censored reliability data
Statistics and Its Interface · 2025
- Data Quality: What if Deming Were Born Today?
Applied Stochastic Models in Business and Industry · 2025
- Small Mixed‐Level Orthogonal Designs
Quality and Reliability Engineering International · 2025
- Optimal Run Order for Order-of-Addition Experiments
Journal of the American Statistical Association · 2025
- Threshold Voltage Tuning of Dual-gate MoS<sub>2</sub> Transistors Via Engineering of Dielectric Interfacial Layers
2025
- Joint optimization of production, maintenance, and quality control considering the product quality variance of a degraded system
Frontiers of Engineering Management · 2024
- A survey of methods for monitoring covariance matrix
2024
- Strong orthogonal Latin hypercubes for computer experiments
Computational Statistics & Data Analysis · 2024
- Sequential good lattice point sets for computer experiments
Science China Mathematics · 2024
- Mixed-level screening designs based on skew-symmetric conference matrices
Statistics & Probability Letters · 2024
- Two-level Isomorphic Foldovers Designs
Statistica Sinica · 2024
- Novel Subsampling Strategies for Heavily Censored Reliability Data
arXiv (Cornell University) · 2024
- Journal of Quality Technology×7
- Quality and Reliability Engineering International×7
- arXiv (Cornell University)×7
- Figshare×7
- Statistica Sinica×6
- William I. Notz
Decision Sciences · The Ohio State University
- Theodore T. Allen
Decision Sciences · The Ohio State University
- Tena I. Katsaounis
Decision Sciences · The Ohio State University
- Jay I. Myung
Computer Science · The Ohio State University
- Michael W. Trosset
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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