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Activity Number: 157
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #304299
Title: Beyond D/G/I Optimality: Evaluation of Experimental Designs in Real-World Terms
Author(s): Zhen Wang*+ and Robert Wilkinson
Companies: The Lubrizol Corporation and The Lubrizol Corporation
Address: 29400 Lakeland Blvd, Wickliffe, OH, 44092, United States
Keywords: Supersaturated Designs ; Bayesian Variable Assessment ; Power
Abstract:

In real-world chemical industry applications, factor settings are not independent. In addition, there is also a need to be able to assess these collinear factors in an experiment that has less runs than the number of factors due to time and cost restraints. Finally, in real-world chemistry applications, the goal is to be able to identify factors of performance. Therefore, we need assessment measures that evaluate the ability of a design to identify factors of performance in real-world terms. Measures such as E(s^2)- or D/G/I-optimality have little meaning to clients and even less meaning to project portfolio managers. Tools are needed that allow for the comparison of designs based on the probability of identifying active factors under real-world situations such as missing data and outliers. Examples are presented that demonstrate that the combination of simulation and Bayesian Variable Assessment is one tool that offers an excellent way to compare and evaluate messy and Supersaturated Designs.


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