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Designing experiments for binary data using search algorithms

Designing experiments for binary data using search algorithms
Designing experiments for binary data using search algorithms
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 efficient 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.
1877040282
International Statistical Institute
Woods, D. C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Lewis, S. M.
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Woods, D. C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Lewis, S. M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8

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)

Abstract

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 efficient 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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More information

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

Identifiers

Local EPrints ID: 15854
URI: http://eprints.soton.ac.uk/id/eprint/15854
ISBN: 1877040282
PURE UUID: 04a5ac59-a94a-4843-979e-0da4b1e29b88
ORCID for D. C. Woods: ORCID iD orcid.org/0000-0001-7648-429X

Catalogue record

Date deposited: 06 Jun 2005
Last modified: 16 Mar 2024 03:14

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Contributors

Author: D. C. Woods ORCID iD
Author: S. M. Lewis

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