Analysis of signal-response systems using generalized linear mixed models

Shilpa Gupta, Murat Kulahci, Douglas Montgomery, Connie M. Borror

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)375-385
Number of pages11
JournalQuality and Reliability Engineering International
Volume26
Issue number4
DOIs
StatePublished - Jun 1 2010

Keywords

  • Dfss
  • Robust parameter design
  • Signal-response systems
  • Split-plot designs

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

Fingerprint Dive into the research topics of 'Analysis of signal-response systems using generalized linear mixed models'. Together they form a unique fingerprint.

  • Cite this