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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 42, 2010 - Issue 1
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Articles

Generating and Assessing Exact G-Optimal Designs

Myrta RodríguezTecnológico de Monterrey CSN, Hermosillo, Sonora, MéxicoView further author information
,
Bradley JonesSAS Institute, SAS Campus Drive, Cary, North Carolina27513, USAView further author information
,
Connie M. BorrorArizona State University West, Phoenix, Arizona85069-7100, USAView further author information
&
Douglas C. MontgomeryArizona State University, Tempe, Arizona85287-5906, USAView further author information
Pages 3-20 | Published online: 21 Nov 2017

Citations (28)

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Read on this site (12)

Stephen J. Walsh, Lu Lu & Christine M. Anderson-Cook. (2024) I-optimal or G-optimal: Do we have to choose?. Quality Engineering 36:2, pages 227-248.
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Stephen J. Walsh & John J. Borkowski. (2023) Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study. Quality Engineering 35:2, pages 304-323.
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Hassan Moulay Omar, Belkacem Mekerta, Armelle Jarno, Saber Imanzadeh, Abdellah Alem & Said Taibi. (2022) Optimization of dune sand-based mixture material for pavement design. European Journal of Environmental and Civil Engineering 26:11, pages 4952-4972.
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Lucia N. Hernandez & Christopher J. Nachtsheim. (2018) Fast Computation of Exact G-Optimal Designs Via I-Optimality. Technometrics 60:3, pages 297-305.
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D. Decrop, J. Lammertyn & P. Goos. (2017) Optimal Experimental Design for Efficient Optical Manipulation of Magnetic Beads Seeded in a Microwell Array. Journal of Quality Technology 49:4, pages 402-417.
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Moein Saleh & Rong Pan. (2016) A clustering-based coordinate exchange algorithm for generating G-optimal experimental designs. Journal of Statistical Computation and Simulation 86:8, pages 1582-1604.
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Peter Goos, Bradley Jones & Utami Syafitri. (2016) I-Optimal Design of Mixture Experiments. Journal of the American Statistical Association 111:514, pages 899-911.
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DouglasC. Montgomery. (2014) Stu Hunter's Contributions to Experimental Design and Quality Engineering. Quality Engineering 26:1, pages 5-15.
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Bradley Jones & Peter Goos. (2012) An Algorithm for Finding D-Efficient Equivalent-Estimation Second-Order Split-Plot Designs. Journal of Quality Technology 44:4, pages 363-374.
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Bradley Jones & Peter Goos. (2012) I-Optimal Versus D-Optimal Split-Plot Response Surface Designs. Journal of Quality Technology 44:2, pages 85-101.
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Tae-Yeon Cho, DouglasC. Montgomery & ConnieM. Borror. (2012) A Case Study Involving Mixture–Process Variable Experiments within a Split-Plot Structure. Quality Engineering 24:1, pages 80-93.
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RachelT. Johnson, DouglasC. Montgomery & BradleyA. Jones. (2011) An Expository Paper on Optimal Design. Quality Engineering 23:3, pages 287-301.
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Articles from other publishers (16)

Murugan Muthuveni, Subramani Deebika, Thiruvenkatasamy Boopathy, Rajarathinam Nithya & Arunachalam Thirunavukkarasu. (2022) I-optimal mixture design and artificial neural network for the sustainable production of vermicompost. Biomass Conversion and Biorefinery 14:9, pages 10147-10160.
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Stephen J. Walsh, Thomsen B. Bolton & John J. Borkowski. (2024) Generating optimal designs with user‐specified pure replication structure. Quality and Reliability Engineering International.
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Neveen Mohamed Kilany. (2023) TG‐compound optimal design for bivariate binary responses modelled via Copulas. Quality and Reliability Engineering International 39:7, pages 2807-2818.
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Jiaqi ZhouIlya O. Ryzhov. (2023) Technical Note—A New Rate-Optimal Sampling Allocation for Linear Belief Models. Operations Research.
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Stephen J. Walsh & John J. Borkowski. (2022) Improved G-Optimal Designs for Small Exact Response Surface Scenarios: Fast and Efficient Generation via Particle Swarm Optimization. Mathematics 10:22, pages 4245.
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Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro & Luigi Salmaso. (2022) Design choice and machine learning model performances. Quality and Reliability Engineering International 38:7, pages 3357-3378.
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Hamza Moussa, Farid Dahmoune, Mohamed malik Mahdjoub, Nabil Kadri & Hocine Remini. (2022) Definitive screening design and I-optimal design for optimization of ultrasound-assisted extraction of phenolic content and antioxidant capacity from Salvia officinalis L. leaves. Sustainable Chemistry and Pharmacy 29, pages 100820.
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Ilya O. Ryzhov. 2022. The Elements of Joint Learning and Optimization in Operations Management. The Elements of Joint Learning and Optimization in Operations Management 49 76 .
Timothy T. Ushijima, William W. G. Yeh & Weng Kee Wong. (2021) Constructing robust and efficient experimental designs in groundwater modeling using a Galerkin method, proper orthogonal decomposition, and metaheuristic algorithms. PLOS ONE 16:8, pages e0254620.
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Masoud Soroush, Leila Samandari Masooleh, Warren D. Seider, Ulku Oktem & Jeffrey E. Arbogast. (2020) Model‐predictive safety optimal actions to detect and handle process operation hazards. AIChE Journal 66:6.
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Masoud Soroush, Leila Samandari Masooleh, Jeffrey E. Arbogast, Warren D. Seider & Ulku Oktem. 2020. Smart Manufacturing. Smart Manufacturing 283 321 .
Wannes G.M. Akkermans, Hans Coppenolle & Peter Goos. (2017) Optimal design of experiments for excipient compatibility studies. Chemometrics and Intelligent Laboratory Systems 171, pages 125-139.
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Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung & Weng Kee Wong. (2014) Minimax optimal designs via particle swarm optimization methods. Statistics and Computing 25:5, pages 975-988.
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Ryan Lekivetz & Bradley Jones. (2015) Fast Flexible Space-Filling Designs for Nonrectangular Regions. Quality and Reliability Engineering International 31:5, pages 829-837.
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M. Emmett, P. Goos & E. C. Stillman. (2011) A weighted prediction‐based selection criterion for response surface designs. Quality and Reliability Engineering International 27:5, pages 719-729.
Crossref
Peter Goos & Bradley Jones. 2011. Optimal Design of Experiments. Optimal Design of Experiments 277 282 .

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