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Designing experiments for binary data using search algorithms

Woods, D. C. and Lewis, S. M. (2005) Designing experiments for binary data using search algorithms In Proceedings of the 55th Session of the International Statistical Institute, Sydney 5-12 April 2005. International Statistical Institute. 4 pp.

Record type: Conference or Workshop Item (Paper)


In some experiments in the physical and biological sciences, a binary response is of primary interest and is often described by a generalized linear model. Examples include experiments in food technology and studies in chemistry where the outcome is whether or not a salt is formed in a chemical reaction. For such experiments, designs that are e±cient under the assumption of a linear model may be inadequate for the description and prediction of the response. The generation of designs using a search algorithm is addressed for completely randomized designs when a generalized linear model describes the response. A method of assessing the designs is discussed and illustrated by examples.

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Published date: 12 April 2005
Venue - Dates: 55th Session of the International Statistical Institute, 2005-04-05 - 2005-04-12
Organisations: Statistics


Local EPrints ID: 15854
ISBN: 1877040282
PURE UUID: 04a5ac59-a94a-4843-979e-0da4b1e29b88

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Date deposited: 06 Jun 2005
Last modified: 17 Jul 2017 16:45

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