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Screening strategies in the presence of interactions

Screening strategies in the presence of interactions
Screening strategies in the presence of interactions
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 assesses and compares screening strategies for interactions using 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
M11/10
Southampton Statistical Sciences Research Institute, University of Southampton
Draguljic, D.
c50d34b5-3dc5-4b70-b59d-8bc00bf2daa9
Woods, David C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Dean, A.M.
8e7d48e9-9655-4ab9-9c50-1843cd36b16c
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Vine, A.E.
0b9da504-9342-4aa1-ae7f-2c6333629804
Draguljic, D.
c50d34b5-3dc5-4b70-b59d-8bc00bf2daa9
Woods, David C.
ae21f7e2-29d9-4f55-98a2-639c5e44c79c
Dean, A.M.
8e7d48e9-9655-4ab9-9c50-1843cd36b16c
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Vine, A.E.
0b9da504-9342-4aa1-ae7f-2c6333629804

Draguljic, D., Woods, David C., Dean, A.M., Lewis, S.M. and Vine, A.E. (2011) Screening strategies in the presence of interactions (Southampton Statistical Sciences Research Institute Working Papers, M11/10) Southampton, GB. Southampton Statistical Sciences Research Institute, University of Southampton 27pp.

Record type: Monograph (Working Paper)

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 assesses and compares screening strategies for interactions using 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

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Published date: 7 June 2011

Identifiers

Local EPrints ID: 189921
URI: http://eprints.soton.ac.uk/id/eprint/189921
PURE UUID: 2291d143-501e-4cc8-b8ea-f0986b404677
ORCID for David C. Woods: ORCID iD orcid.org/0000-0001-7648-429X

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Date deposited: 08 Jun 2011 08:27
Last modified: 15 Mar 2024 03:05

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Contributors

Author: D. Draguljic
Author: David C. Woods ORCID iD
Author: A.M. Dean
Author: S.M. Lewis
Author: A.E. Vine

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