A Bayesian model-averaging approach for multiple-response optimization

Journal of Quality Technology

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Main Author: Ng, S.H.
Other Authors: INDUSTRIAL & SYSTEMS ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/53894
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-538942015-01-16T15:03:16Z A Bayesian model-averaging approach for multiple-response optimization Ng, S.H. INDUSTRIAL & SYSTEMS ENGINEERING Decision theoretic approach Follow-Up sampling Optimal design Preposterior analysis Quality loss functions Journal of Quality Technology 42 1 52-68 JQUTA 2014-06-16T09:23:23Z 2014-06-16T09:23:23Z 2010-01 Article Ng, S.H. (2010-01). A Bayesian model-averaging approach for multiple-response optimization. Journal of Quality Technology 42 (1) : 52-68. ScholarBank@NUS Repository. 00224065 http://scholarbank.nus.edu.sg/handle/10635/53894 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Decision theoretic approach
Follow-Up sampling
Optimal design
Preposterior analysis
Quality loss functions
spellingShingle Decision theoretic approach
Follow-Up sampling
Optimal design
Preposterior analysis
Quality loss functions
Ng, S.H.
A Bayesian model-averaging approach for multiple-response optimization
description Journal of Quality Technology
author2 INDUSTRIAL & SYSTEMS ENGINEERING
author_facet INDUSTRIAL & SYSTEMS ENGINEERING
Ng, S.H.
format Article
author Ng, S.H.
author_sort Ng, S.H.
title A Bayesian model-averaging approach for multiple-response optimization
title_short A Bayesian model-averaging approach for multiple-response optimization
title_full A Bayesian model-averaging approach for multiple-response optimization
title_fullStr A Bayesian model-averaging approach for multiple-response optimization
title_full_unstemmed A Bayesian model-averaging approach for multiple-response optimization
title_sort bayesian model-averaging approach for multiple-response optimization
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/53894
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