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A Bayesian design criterion for locating the optimum point on a response surface

Gilmour, 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

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To link to this item DOI: 10.1016/s0167-7152(03)00154-8

Abstract/Summary

Most 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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences
ID Code:10749
Uncontrolled Keywords:A(B)-optimality, industrial experimentation, response surface methods, sequential design

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