One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models
In this research, Bayesian two-stage D-D optimal designs for mixture experiments with or without process variables under model uncertainty are developed. A Bayesian optimality criterion is used in the first stage to minimize the determinant of the posterior variances of the parameters. The second...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/30224 http://scholar.lib.vt.edu/theses/available/etd-122199-103554/ |