Activity Number:
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180
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Type:
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Contributed
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Date/Time:
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Tuesday, August 13, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical & Engineering Sciences*
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Abstract - #301167 |
Title:
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Statistical Modeling for Experiments with Sliding Levels
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Author(s):
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Shao-Wei Cheng*+ and Jeff Wu and Longcheen Huwang
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Affiliation(s):
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Academia Sinica and University of Michigan and National Tsing Hua University
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Address:
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, Taipei, , 115, Taiwan
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Keywords:
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Abstract:
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Design of experiment with related factors can be implemented by using the technique of sliding levels. Taguchi proposed an analysis strategy by re-centering and re-scaling the slid factors. Hamada and Wu (1995) showed by a counter-example that in many cases the interactions cannot be completely eliminated by Taguchi's strategy. They proposed an alternative method in which the slid factors are modeled by nested effects. In this work, we show the inadequacy of either method when the objective of the experiment is response prediction. We propose an analysis method based on a response surface model, and demonstrate its superiority for prediction. We also study the relationships between these three modeling strategies.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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