A Bayesian design criterion for locating the optimum point on a response surfaceGilmour, S. G. and Mead, R. (2003) A Bayesian design criterion for locating the optimum point on a response surface. Statistics & Probability Letters, 64 (3). pp. 235-242. ISSN 0167-7152 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/s0167-7152(03)00154-8 Abstract/SummaryMost factorial experiments in industrial research form one stage in a sequence of experiments and so considerable prior knowledge is often available from earlier stages. A Bayesian A-optimality criterion is proposed for choosing designs, when each stage in experimentation consists of a small number of runs and the objective is to optimise a response. Simple formulae for the weights are developed, some examples of the use of the design criterion are given and general recommendations are made. (C) 2003 Elsevier B.V. All rights reserved.
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