Name
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. Copyright (C) 2009 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1002/qre.1068 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL |
Keywords | Field | DocType |
DFSS,robust parameter design,signal-response systems,split-plot designs | Point estimation,Econometrics,Robust design,Computer science,Generalized linear array model,Design for Six Sigma,Variance function,Robust parameter design,Statistics,Confidence interval,Generalized linear mixed model | Journal |
Volume | Issue | ISSN |
26 | SP4 | 0748-8017 |
Citations | PageRank | References |
2 | 0.36 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shilpa Gupta | 1 | 2 | 0.36 |
| Murat Kulahci | 2 | 34 | 13.46 |
| Douglas C. Montgomery | 3 | 106 | 24.05 |
| Connie M. Borror | 4 | 31 | 6.36 |