An experience in analyzing process optimization data in the presence of unknown confounding

Quality Engineering

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Bibliographic Details
Main Author:	Goh, T.N.
Other Authors:	INDUSTRIAL & SYSTEMS ENGINEERING
Format:	Article
Published:	2014
Subjects:	Confounding Design of experiments Fractional factorial design Optimization Parameter design Taguchi methods
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/63003
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-63003
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spelling	sg-nus-scholar.10635-630032015-04-02T16:06:40Z An experience in analyzing process optimization data in the presence of unknown confounding Goh, T.N. INDUSTRIAL & SYSTEMS ENGINEERING Confounding Design of experiments Fractional factorial design Optimization Parameter design Taguchi methods Quality Engineering 9 2 299-304 QUENE 2014-06-17T06:59:03Z 2014-06-17T06:59:03Z 1996 Article Goh, T.N. (1996). An experience in analyzing process optimization data in the presence of unknown confounding. Quality Engineering 9 (2) : 299-304. ScholarBank@NUS Repository. 08982112 http://scholarbank.nus.edu.sg/handle/10635/63003 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	Confounding Design of experiments Fractional factorial design Optimization Parameter design Taguchi methods
spellingShingle	Confounding Design of experiments Fractional factorial design Optimization Parameter design Taguchi methods Goh, T.N. An experience in analyzing process optimization data in the presence of unknown confounding
description	Quality Engineering
author2	INDUSTRIAL & SYSTEMS ENGINEERING
author_facet	INDUSTRIAL & SYSTEMS ENGINEERING Goh, T.N.
format	Article
author	Goh, T.N.
author_sort	Goh, T.N.
title	An experience in analyzing process optimization data in the presence of unknown confounding
title_short	An experience in analyzing process optimization data in the presence of unknown confounding
title_full	An experience in analyzing process optimization data in the presence of unknown confounding
title_fullStr	An experience in analyzing process optimization data in the presence of unknown confounding
title_full_unstemmed	An experience in analyzing process optimization data in the presence of unknown confounding
title_sort	experience in analyzing process optimization data in the presence of unknown confounding
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/63003
_version_	1681085878943875072

An experience in analyzing process optimization data in the presence of unknown confounding

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