A Response Surface Methodology for Modeling Time Series Response Data
Article first published online: 13 AUG 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 29, Issue 5, pages 771–778, July 2013
How to Cite
Storm, S. M., Hill, R. R. and Pignatiello, J. J. (2013), A Response Surface Methodology for Modeling Time Series Response Data. Qual. Reliab. Engng. Int., 29: 771–778. doi: 10.1002/qre.1427
- Issue published online: 25 JUL 2013
- Article first published online: 13 AUG 2012
- Manuscript Accepted: 7 MAY 2012
- Manuscript Received: 19 APR 2012
- response surface methods;
- time series modeling;
- statistical modeling
This article introduces extensions to classical response surface methods specifically for modeling and exploiting time series response data such as found in aircraft flight test. Classical response surface methods focus on the analysis of discrete response data. In some complex, nonlinear systems, analysts are concerned with the behavior of time series response data. To date, there does not appear to be any formal methods for examining and exploiting these data within a response surface framework. Thus, a mathematical framework is defined and then demonstrated through a sample analysis of empirical flight test data. Copyright © 2012 John Wiley & Sons, Ltd.