Enhancing Definitive Screening Designs for Better Precision | Fireside Chat with Dr. Robert Mee
Автор: Global Outreach & Extended Education (GOEE)
Загружено: 2026-01-22
Просмотров: 125
Thought Leader:
Dr. Robert Mee is a Professor of Business Analytics at the University of Tennessee and a leading authority in experimental design and statistical modeling. Known for his expertise in Definitive Screening Designs (DSDs) and response surface methodology, Dr. Mee has contributed significantly to advancing practical strategies for analyzing complex experiments. His work focuses on improving model accuracy, reducing experimental bias, and enhancing the efficiency of design structures—particularly in high-dimensional and industrial contexts.
Topic Overview:
This session focuses on the evolving role of Definitive Screening Designs (DSDs) in experimental strategy, highlighting both their strengths and their limitations as one-step response surface models. Dr. Mee explains how DSDs can be augmented with axial points to enhance precision and support estimation of second-order effects when curvature is present. By viewing the design region as spherical and applying Ds-optimal augmentation, researchers can reduce prediction variance and improve model robustness. With real-world examples and implementation tips, this session offers practical guidance for statisticians, engineers, and analysts seeking efficient, high-impact experimentation.
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