An algorithm for arranging response surface designs in small blocks
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Cited by:
- Georgiou, Stelios D. & Stylianou, Stella & Aggarwal, Manohar, 2014. "A class of composite designs for response surface methodology," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1124-1133.
- Goos, Peter & Vandebroek, Martina, 2001. "-optimal response surface designs in the presence of random block effects," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 433-453, October.
- Goos, P. & Donev, A.N., 2006. "Blocking response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1075-1088, November.
- Großmann, Heiko & Gilmour, Steven G., 2023. "Partially orthogonal blocked three-level response surface designs," Econometrics and Statistics, Elsevier, vol. 28(C), pages 138-154.
- Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth, 2017.
"An algorithmic framework for generating optimal two-stratum experimental designs,"
Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 224-249.
- CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Business and Economics.
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