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.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
12 April 2005
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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Published date: 12 April 2005
Venue - Dates:
55th Session of the International Statistical Institute, Sydney, 2005-04-05 - 2005-04-12
Organisations:
Statistics
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Local EPrints ID: 15854
URI: http://eprints.soton.ac.uk/id/eprint/15854
ISBN: 1877040282
PURE UUID: 04a5ac59-a94a-4843-979e-0da4b1e29b88
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Date deposited: 06 Jun 2005
Last modified: 16 Mar 2024 03:14
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Author:
S. M. Lewis
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