Screening strategies in the presence of interactions (with discussion)
Screening strategies in the presence of interactions (with discussion)
Product and process improvement can involve a large number of factors which must be varied simultaneously. Understanding how factors interact is a key step in identifying those factors that have a substantial impact on the response. This paper gives the first comprehensive assessment and comparison of screening strategies for interactions using two-level supersaturated designs, group screening, and a variety of data analysis methods including shrinkage regression and Bayesian methods. Novel methodology is developed to allow application of Bayesian methods in two-stage group screening. Insights on using the strategies are provided through a variety of simulation scenarios and open issues are discussed. Supplementary materials are available online.
Bayesian model selection, Bayesian D-optimality, Gauss-Dantzig Selector, Group screening, Shrinkage regression, Supersaturated designs.
1-28
Draguljic, Danel
258f315b-d392-4929-adeb-2c629bad68c4
Woods, David C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Dean, Angela M.
9c90540a-cdf4-44ce-9d34-6b7b495a1ea3
Lewis, Susan M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Vine, Anna-Jane E.
eb92b55a-7727-4769-815b-1c9085566dd7
2014
Draguljic, Danel
258f315b-d392-4929-adeb-2c629bad68c4
Woods, David C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Dean, Angela M.
9c90540a-cdf4-44ce-9d34-6b7b495a1ea3
Lewis, Susan M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Vine, Anna-Jane E.
eb92b55a-7727-4769-815b-1c9085566dd7
Draguljic, Danel, Woods, David C., Dean, Angela M., Lewis, Susan M. and Vine, Anna-Jane E.
(2014)
Screening strategies in the presence of interactions (with discussion).
Technometrics, 56 (1), .
(doi:10.1080/00401706.2013.775900).
Abstract
Product and process improvement can involve a large number of factors which must be varied simultaneously. Understanding how factors interact is a key step in identifying those factors that have a substantial impact on the response. This paper gives the first comprehensive assessment and comparison of screening strategies for interactions using two-level supersaturated designs, group screening, and a variety of data analysis methods including shrinkage regression and Bayesian methods. Novel methodology is developed to allow application of Bayesian methods in two-stage group screening. Insights on using the strategies are provided through a variety of simulation scenarios and open issues are discussed. Supplementary materials are available online.
More information
e-pub ahead of print date: 16 May 2013
Published date: 2014
Additional Information:
Discussion paper
Keywords:
Bayesian model selection, Bayesian D-optimality, Gauss-Dantzig Selector, Group screening, Shrinkage regression, Supersaturated designs.
Organisations:
Statistics, Statistical Sciences Research Institute
Identifiers
Local EPrints ID: 348083
URI: http://eprints.soton.ac.uk/id/eprint/348083
ISSN: 0040-1706
PURE UUID: fafa0562-a726-487a-a279-3ac7829e61c2
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Date deposited: 07 Feb 2013 12:44
Last modified: 15 Mar 2024 03:05
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Contributors
Author:
Danel Draguljic
Author:
Angela M. Dean
Author:
Susan M. Lewis
Author:
Anna-Jane E. Vine
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