Response Surface Methodology: 1966–l988
- 1 May 1989
- journal article
- research article
- Published by Taylor & Francis in Technometrics
- Vol. 31 (2) , 137-157
- https://doi.org/10.1080/00401706.1989.10488509
Abstract
Response sarfxe methodology (RSM) is a collection of tools developed in the 1950s for the purpose of determining optimum operating conditions in applications in the chemical industry. This article reviews the progrrss of RSM in the general areas of experimental design and analysis and indicates how its role has been affected by advanccs in other fields of applied statistics. Current areas of research in RSM are highlighted. and areas for future research are discussed.Keywords
This publication has 163 references indexed in Scilit:
- Response Surface Designs in Flexible RegionsJournal of the American Statistical Association, 1986
- An Asymptotic Confidence Region for theED100pFrom the Logistic Response Surface for a Combination of AgentsThe American Statistician, 1986
- Multiresponse Estimation With Special Application to Linear Systems of Differential EquationsTechnometrics, 1985
- Ridge Analysis 25 Years LaterThe American Statistician, 1985
- A Note onD-Optimal Designs for Partially Nonlinear Regression ModelsTechnometrics, 1984
- Two-Level Multifactor Designs for Detecting the Presence of InteractionsTechnometrics, 1983
- Modified Ridge AnalysisTechnometrics, 1979
- Experiments for Nonlinear Functions (R.A. Fisher Memorial Lecture)Journal of the American Statistical Association, 1973
- Experiments with Mixtures: A ReviewTechnometrics, 1973
- “Repairing” Response Surface DesignsTechnometrics, 1972