Optimal Design of Experiments: A Case Study Approach
By Peter Goos, Bradley A. Jones. 2011
419 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e3c2248e6cf922e4a62f22b7c8c2ce32987ae499
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In Management Science and Operations Research
- Bradley A. Jones
- Alireza Doostan
- Mohammad Hadigol
- Peter Goos
- Luzia A. Trinca
- Steven G. Gilmour
- Martina Vandebroek
- John M. Rose
Citations in the corpus
- Least squares polynomial chaos expansion: A review of sampling strategies (2017, methodology): “Moreover, software packages such as JMP [41], POBE [75], AlgDesign [121], PopED [39, 91] and Gosset [49] have been developed to construct ODE using the algorithms discussed here.”
- I-Optimal Versus D-Optimal Split-Plot Response Surface Designs (2012, methodology): “Letsinger et al. (1996) discussed response surface methods for split-plot designs focusing on the data analysis.”
- I-Optimal Design of Mixture Experiments (2016, background): “The reference books by Atkinson, Donev, and Tobias (2007) and Goos and Jones (2011) briefly discuss the D-optimality of some commonly used mixture designs, but pay no attention to I-optimal mixture designs.”
- Optimum design of experiments for statistical inference (2012, background): “Goos and Jones (2011), section 2.3, argue instead for a co-ordinate exchange algorithm in which each element of the design matrix is the subject of a search.”