Bayesian Two Stage Design Under Model Uncertainty
Traditional single stage design optimality procedures can be used to efficiently generate data for an assumed model y = f(x<sup>(m)</sup>,b) + ε. The model assumptions include the form of f, the set of regressors, x<sup>(m)</sup> , and the distribution of ε....
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| Format: | Others |
| Language: | en |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/30303 http://scholar.lib.vt.edu/theses/available/etd-155317220973210/ |