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Analysis of signal-response systems using generalized linear mixed models
Division of Mathematical and Natural Sciences, Arizona State University.
Division of Mathematical and Natural Sciences, Arizona State University.ORCID iD: 0000-0003-4222-9631
Division of Mathematical and Natural Sciences, Arizona State University.
Division of Mathematical and Natural Sciences, Arizona State University.
2010 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 26, no 4, p. 375-385Article in journal (Refereed) Published
Abstract [en]

Robust parameter design is one of the important tools used in Design for Six Sigma. In this article, we present an application of the generalized linear mixed model (GLMM) approach to robust design and analysis of signal-response systems. We propose a split-plot approach to the signal-response system characterized by two variance components-within-profile variance and between-profile variance. We demonstrate that explicit modeling of variance components using GLMMs leads to more precise point estimates of important model coefficients with shorter confidence intervals

Place, publisher, year, edition, pages
2010. Vol. 26, no 4, p. 375-385
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-14995DOI: 10.1002/qre.1068Local ID: e733b98a-9f10-4957-bf53-dc9c8f809a9aOAI: oai:DiVA.org:ltu-14995DiVA, id: diva2:987968
Note
Upprättat; 2010; 20150526 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

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Kulahci, Murat

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