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Experimental design and observation for large systems

Bates, R. A. and Buck, R. J. and Riccomagno, E. and Wynn, H. P. (1996) Experimental design and observation for large systems. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 58 (1). pp. 77-94. ISSN 1369-7412

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Abstract

Large systems require new methods of experimental designs suitable for the highly adaptive models which are employed to cope with complex non-linear responses and high dimensionality of input spaces. The area of computer experiments has started to provide such designs especially Latin hypercube and lattice designs. System decomposition, prevalent in several branches of engineering, can be employed to decrease complexity. A combination of system decomposition using a sparse matrix method, experimental design and modelling is applied to one example of an electrical circuit simulator producing a usable emulator of the circuit for use in optimization and sensitivity analysis.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/journal/10.1111/(IS...
Additional Information: © 1996 Royal Statistical Society
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Sets: Research centres and groups > Decision Support and Risk Group (DSRG)
Date Deposited: 07 Aug 2013 09:11
Last Modified: 16 Oct 2017 09:30
URI: http://eprints.lse.ac.uk/id/eprint/51488

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