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Journal of Korean Society for Quality Management > Volume 34(1); 2006 > Article
Journal of Korean Society for Quality Management 2006;34(1): 48-.
Mixture Bayesian Robust Design
ABSTRACT
Applying Bayesian optimal design principles is not easy when a prior distribution is not certain. We present a optimal design criterion which possibly yield a reasonably good design and also robust with respect to misspecification of the prior distributions. The criterion is applied to the problem of estimating the turning point of a quadratic regression. Exact mathematical results are presented under certain conditions on prior distributions. Computational results are given for some cases not satisfying our conditions.
Key Words: Bayesian Design;Optimal Design;Robustness;
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