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Technometrics Volume 26, 1984 - Issue 3
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Original Articles

Computer-Aided Design of Experiments for Response Estimation

William J. Welch Faculty of Commerce and Business Administration, The University of British Columbia, Vancouver, British Columbia, V6T 1Y8, Canada
Pages 217-224 | Published online: 23 Mar 2012

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Lichao Jiang, Xiaobing Shang, Bao Jin, Chenjia Ji & Zhi Zhang. (2024) Multi-objective optimal input design for grey-box identification modelling of ship manoeuvring motion. Ships and Offshore Structures 0:0, pages 1-10.
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Malviya Nidhi, M Nagaraju Patro, Somisetty Kusumvalli & Vemula Kusumdevi. (2016) Development of transmucosal patch loaded with anesthetic and analgesic for dental procedures and in vivo evaluation. International Journal of Nanomedicine 11, pages 2901-2920.
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Moein Saleh & Rong Pan. (2016) Constructing Efficient Experimental Designs for Generalized Linear Models. Communications in Statistics - Simulation and Computation 45:8, pages 2827-2845.
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Greg F. Piepel, Scott K. Cooley, John D. Vienna & Jarrod V. Crum. (2016) Designing a mixture experiment when the components are subject to a nonlinear multiple-component constraint. Quality Engineering 28:2, pages 220-230.
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Jyoti Rajarajan & Chhaya Sonar. (2013) G-Efficient Designs for Quadratic Mixture Models. Communications in Statistics - Theory and Methods 42:24, pages 4417-4430.
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R.L.J. Coetzer, R. F Rossouw & N. J. Le Roux. (2012) Efficient maximin distance designs for experiments in mixtures. Journal of Applied Statistics 39:9, pages 1939-1951.
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Myrta Rodríguez, Bradley Jones, Connie M. Borror & Douglas C. Montgomery. (2010) Generating and Assessing Exact G-Optimal Designs. Journal of Quality Technology 42:1, pages 3-20.
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John J. Borkowski. (2003) A Comparison of Prediction Variance Criteria for Response Surface Designs. Journal of Quality Technology 35:1, pages 70-77.
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Alejandro Heredia-Langner, W. M. Carlyle, D. C. Montgomery, C. M. Borror & G. C. Runger. (2003) Genetic Algorithms for the Construction of D-Optimal Designs. Journal of Quality Technology 35:1, pages 28-46.
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MaxD. Morris. (2000) Three Technomefrics Experimental Design Classics. Technometrics 42:1, pages 26-27.
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Ling-Yau Chan. (2000) Optimal designs for experiments with mixtures: a survey. Communications in Statistics - Theory and Methods 29:9-10, pages 2281-2312.
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W. Matthew Carlyle, Douglas C. Montgomery & George C. Runger. (2000) Optimization Problems and Methods in Quality Control and Improvement. Journal of Quality Technology 32:1, pages 1-17.
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Russell R. Barton. (1998) Design-Plots for Factorial and Fractional-Factorial Designs. Journal of Quality Technology 30:1, pages 40-54.
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RuthK. Meyer & ChristopherJ. Nachtsheim. (1995) The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs. Technometrics 37:1, pages 60-69.
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M. Hamada & C. F. J. Wu. (1992) Analysis of Designed Experiments with Complex Aliasing. Journal of Quality Technology 24:3, pages 130-137.
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I.N. Vuchkov, D.L. Damgaliev & A.N. Donev. (1989) Generation of d–optimal designs in a finite design space. Communications in Statistics - Simulation and Computation 18:1, pages 319-337.
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A.N. Donev & A.C. Atkinson. (1988) An Adjustment Algorithm for the Construction of Exact D -Optimum Experimental Designs. Technometrics 30:4, pages 429-433.
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Ruth K. Meyer & Christopher J. Nachtsheim. (1988) Constructing Exact D-Optimal Experimental Designs by Simulated Annealing. American Journal of Mathematical and Management Sciences 8:3-4, pages 329-359.
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LindaM. Haines. (1987) The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear – Regression Models. Technometrics 29:4, pages 439-447.
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Christopher J. Nachtsheim. (1987) Tools for Computer-Aided Design of Experiments. Journal of Quality Technology 19:3, pages 132-160.
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Ronald D. Snee. (1985) Computer-Aided Design of Experiments—Some Practical Experiences. Journal of Quality Technology 17:4, pages 222-236.
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Eric Ziegel. (1985) Applied Factorial and Fractional Designs. Technometrics 27:3, pages 315-316.
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JaneF. Gentleman$suffix/text()$suffix/text(). (1985) New Developments in Statistical Computing. The American Statistician 39:2, pages 140-146.
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Anh‐Duong Dieu Vo, Ali Shahmohammadi & Kimberley B. McAuley. (2021) Model‐based design of experiments for polyether production from bio‐based 1,3‐propanediol. AIChE Journal 67:11.
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Xi Chen, Bo Kang, Jefrey Lijffijt & Tijl De Bie. (2021) ALPINE: Active Link Prediction Using Network Embedding. Applied Sciences 11:11, pages 5043.
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Amanda L. T. Brandão, André L. Alberton & José C. Pinto. (2020) Discrimination of Chain Branching Models in Addition Diene Polymerizations. Macromolecular Theory and Simulations 29:2.
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Rong Pan & Moein Saleh. (2019) On designing experiments for a dynamic response modeled by regression splines. Applied Stochastic Models in Business and Industry 36:2, pages 251-267.
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Zihao Wang, C. Guedes Soares & Zaojian Zou. (2020) Optimal design of excitation signal for identification of nonlinear ship manoeuvring model. Ocean Engineering 196, pages 106778.
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Ali Shahmohammadi & Kimberley B. McAuley. (2019) Sequential model-based A- and V-optimal design of experiments for building fundamental models of pharmaceutical production processes. Computers & Chemical Engineering 129, pages 106504.
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Ali Shahmohammadi & Kimberley B. McAuley. (2018) Sequential Model-Based A-Optimal Design of Experiments When the Fisher Information Matrix Is Noninvertible. Industrial & Engineering Chemistry Research 58:3, pages 1244-1261.
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Zhan Li, Cheng Li, Yue Gao, Wenguang Ma, Yunye Zheng, Yongzhi Niu, Yajing Guan & Jin Hu. (2018) Identification of oil, sugar and crude fiber during tobacco ( Nicotiana tabacum L.) seed development based on near infrared spectroscopy. Biomass and Bioenergy 111, pages 39-45.
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Silja Thewes, Matthias Krause, Christoph Reuber, Markus Lange-Hegermann, Rafael Dziadek & Martin Rebbert. 2016. Simulation and Testing for Vehicle Technology. Simulation and Testing for Vehicle Technology 299 316 .
Radoslav Harman, Alena Bachratá & Lenka Filová. (2015) Construction of efficient experimental designs under multiple resource constraints. Applied Stochastic Models in Business and Industry 32:1, pages 3-17.
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H. Haddad Khodaparast & J. E. Cooper. (2014) Rapid Prediction of Worst-Case Gust Loads Following Structural Modification. AIAA Journal 52:2, pages 242-254.
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Hamed Khodaparast & Jonathan Cooper. (2012) Rapid Prediction of Worst Case Gust Loads Following Structural Modification. Rapid Prediction of Worst Case Gust Loads Following Structural Modification.
John A. Cornell. 2011. A Primer on Experiments with Mixtures. A Primer on Experiments with Mixtures 95 158 .
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Jonathan Cooper, H. Khodaparast, Sergio Ricci, G. Georgiou, Gareth Vio, L. Trawaglini & P. Denmer. (2011) Rapid Prediction of Worst Case Gust Loads. Rapid Prediction of Worst Case Gust Loads.
Duncan E. Thompson, Kim B. McAuley & P. James McLellan. (2009) Design of Optimal Sequential Experiments to Improve Model Predictions from a Polyethylene Molecular Weight Distribution Model. Macromolecular Reaction Engineering 4:1, pages 73-85.
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R. L. J. Coetzer & W. W. Focke. (2009) Optimal designs for estimating the parameters in weighted power‐mean‐mixture models. Journal of Chemometrics 24:1, pages 34-42.
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THOMAS P. RYAN. 2008. Modern Regression Methods. Modern Regression Methods 525 549 .
Chen‐Tuo Liao & Feng‐Shun Chai. (2008) Partially replicated two‐level fractional factorial designs. Canadian Journal of Statistics 32:4, pages 421-438.
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John A. Cornell. 2002. Experiments with Mixtures. Experiments with Mixtures 132 222 .
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Andrew P. Featherstone & Richard D. Braatz. (1998) Input Design for Large-Scale Sheet and Film Processes. Industrial & Engineering Chemistry Research 37:2, pages 449-454.
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Wolfgang Seewald & Yves-Laurent Grize. (1997) Stavex: A Sophisticated but User-Friendly Expert System for the Design and Analysis of Experiments. Drug Information Journal 31:2, pages 597-606.
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Selden B. Grary & Cosimo Spera. (1996) Optimal experimental design for combinatorial problems. Computational Economics 9:3, pages 241-255.
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Norman R. Draper & Dennis K.J. Lin. 1996. Design and Analysis of Experiments. Design and Analysis of Experiments 343 375 .
S. M. Lewis, N. R. Draper, A. M. Dean & P. Prescott. (1994) Mixture Designs for Q Components in Orthogonal Blocks . Journal of the Royal Statistical Society Series B: Statistical Methodology 56:3, pages 457-467.
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. 1994. Optimization Techniques in Statistics. Optimization Techniques in Statistics 325 341 .
E. Schrevens & J. Cornell. (1993) Design and analysis of mixture systems: Applications in hydroponic, plant nutrition research. Plant and Soil 154:1, pages 45-52.
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E. Schrevens & J. Cornell. 1993. Optimization of Plant Nutrition. Optimization of Plant Nutrition 179 186 .
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