Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Trade-off sensitive experimental design : a multicriterion, decision theoretic, Bayes linear approach.

Farrow, M. and Goldstein, M. (2006) 'Trade-off sensitive experimental design : a multicriterion, decision theoretic, Bayes linear approach.', Journal of statistical planning and inference., 136 (2). pp. 498-526.

Abstract

We show how mutually utility independent hierarchies, which weigh the various costs of an experiment against benefits expressed through a mixed Bayes linear utility representing the potential gains in knowledge from the experiment, provide a flexible and intuitive methodology for experimental design which remains tractable even for complex multivariate problems. A key feature of the approach is that we allow imprecision in the trade-offs between the various costs and benefits. We identify the Pareto optimal designs under the imprecise specification and suggest a criterion for selecting between such designs. The approach is illustrated with respect to an experiment related to the oral glucose tolerance test.

Item Type:Article
Keywords:Imprecise utility, Multi-attribute utility, Pareto optimality, Oral glucose tolerance test.
Full text:PDF - Accepted Version (257Kb)
Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1016/j.jspi.2004.07.008
Record Created:26 Apr 2007
Last Modified:24 Aug 2011 13:30

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitterExport: EndNote, Zotero | BibTex
Usage statisticsLook up in GoogleScholar | Find in a UK Library