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Activity Number: 290
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #306706
Title: Bayesian Analysis of Split Plot Failure Amplification Experiments
Author(s): Oksoun Yee*+ and Robert W. Mee
Companies: Schering-Plough Corporation and University of Tennessee
Address: 132 Spruce Mill Lane, Scotch Plains, NJ, 07076,
Keywords: binary response ; generalized linear model ; mixed model ; model selection ; split-unit ; optimization
Abstract:

Joseph and Wu (2004) proposed use of an "amplification factor" to increase the information from experiments with a binary response variable. In addition to the amplification factor having a known effect, Joseph and Wu recommended that, for convenience of experimentation, this factor be taken as an easy-to-change, split-unit factor. In such cases, the analysis should take into account the possibility of both whole-unit and split-unit error variation. We present such an analysis here, where the Bayesian approach not only permits proper accounting of the error structure, but also facilitates the subsequent optimization step.

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