Response Surface Methodology: A Retrospective and Literature Survey

By Raymond H. Myers, Douglas C. Montgomery, G. G. Vining, Connie M. Borror, Scott M. Kowalski. 2004

677 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/23c82064f4da39d613f2102715ba9a447ed17f08

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In Computational Theory and Mathematics

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Bayesian Optimization for Adaptive Experimental Design: A Review (2020, neutral): “Alternative optimisation approaches include simulated annealing, branch-and-bound and genetic algorithms [14].”
Simultaneous Optimization of Mean and Standard Deviation (2010, methodology): “Various approaches for solving this problem in the RSM framework, which is thoroughly discussed by Myers et al. (2004), have been put forward in the literature, including the popular priority-based, mean squared–based, and goal programming–based approaches.”
Response surface design evaluation and comparison (2009, neutral): “Myers et al. (2004) observe that the response surface framework has become the standard approach for much of the experimentation carried out in industrial research, development, manufacturing, and technology commercialization.”
Sensitivity in risk analyses with uncertain numbers. (2006, methodology): “…described above, the general strategy of response surface modeling (Myers 1971; Morton 1983; Downing et al. 1985; Kleijnen 1992; Myers 1999; Myers et al. 2004) allows an indirect application of Dempster-Shafer theory and probability bounds analysis to black boxes that might often be useful…”
Response-Surface Methods in R, Using rsm (2009, background): “Even a quick glance at a review article such as Myers, Montgomery, Vining, Borror, and Kowalski (2004)—or even an older one such as Hill and Hunter (1989)—reveals that there is a great deal that could be added to future editions of rsm .”