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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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Abimibola Victoria Oladugba, Brenda Mbouamba Yankam & Oluchukwu Chukwuemeka Asogwa. (2024) Prediction variance capability of orthogonal uniform composite designs and orthogonal array composite designs in the spherical region. Communications in Statistics - Theory and Methods 53:5, pages 1611-1623.
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Ziye Ma, Hainian Wang, Yuanle Li, Mohd Rosli Mohd Hasan, Ning Xu & Zhanping You. (2023) Performance-optimised design of sand fog seal for pavement cold repair using RSM I-optimal methodology. International Journal of Pavement Engineering 24:1.
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Ankita Verma, Seema Jaggi, Eldho Varghese, Arpan Bhowmik, Cini Varghese & Anindita Datta. (2023) On the construction of asymmetric third-order rotatable designs. Communications in Statistics - Theory and Methods 0:0, pages 1-21.
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Humera Hayat, Atif Akbar, Tanvir Ahmad, Sajjad Haider Bhatti & Muhammad Imdad Ullah. (2023) Robustness to missing observation and optimalities of response surface designs with regular and complex structure. Communications in Statistics - Simulation and Computation 52:11, pages 5213-5230.
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Jin H. Oh. (2023) Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design. Communications in Statistics - Theory and Methods 52:18, pages 6561-6572.
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Bharat Tarapara & Jyoti Divecha. (2023) Practical efficient alpha: Encompassing all alphas of central composite design. Communications in Statistics - Simulation and Computation 52:4, pages 1621-1629.
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John J. Borkowski, Wanida Limmun & Boonorm Chomtee. (2022) Factorwise variance dispersion graphs. Communications in Statistics - Theory and Methods 51:23, pages 8427-8445.
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M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal. (2022) Theoretical developments in response surface designs: an informative review and further thoughts. Communications in Statistics - Theory and Methods 51:7, pages 2009-2033.
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Charity Uchenna Onwuamaeze. (2021) Optimal prediction variance properties of some central composite designs in the hypercube. Communications in Statistics - Theory and Methods 50:8, pages 1911-1924.
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Tanvir Ahmad, Steven G. Gilmour & Hafiz Muhammad Arshad. (2020) Comparisons of augmented pairs designs and subset designs. Communications in Statistics - Simulation and Computation 49:7, pages 1898-1921.
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Juntao Fang, Zhen He, Shuguang He & Guodong Wang. (2020) The robustness of response surface designs with errors in factor levels. Communications in Statistics - Theory and Methods 49:10, pages 2365-2383.
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Bradley Jones, J. Stuart Hunter & Douglas C. Montgomery. (2020) Partial replication of definitive screening designs. Quality Engineering 32:1, pages 4-9.
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José Núñez Ares & Peter Goos. (2020) Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs. Technometrics 62:1, pages 21-36.
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Greg F. Piepel & Scott K. Cooley. (2020) Repairing constrained experimental regions and designs for mixture or nonmixture variables when some design points are unacceptable. Journal of Quality Technology 52:1, pages 1-13.
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Willis A. Jensen. (2018) Open problems and issues in optimal design. Quality Engineering 30:4, pages 583-593.
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Jin H. Oh, Sung H. Park & Soon S. Kwon. (2018) Graphical evaluation of robust parameter designs based on extended scaled prediction variance and extended spherical average prediction variance. Communications in Statistics - Theory and Methods 47:14, pages 3523-3531.
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Christine M. Anderson-Cook & Michael S. Hamada. (2018) Quality quandaries: Incorporating practical constraints into a designed experiment. Quality Engineering 30:3, pages 534-541.
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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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Jyoti Divecha & Bharat Tarapara. (2017) Small, balanced, efficient, optimal, and near rotatable response surface designs for factorial experiments asymmetrical in some quantitative, qualitative factors. Quality Engineering 29:2, pages 196-210.
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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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JessicaL. Chapman, Lu Lu & ChristineM. Anderson-Cook. (2014) Process Optimization for Multiple Responses Utilizing the Pareto Front Approach. Quality Engineering 26:3, pages 253-268.
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Kadri Ulas Akay. (2014) A graphical evaluation of logistic ridge estimator in mixture experiments. Journal of Applied Statistics 41:6, pages 1217-1232.
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Rong Pan & Tao Yang. (2014) Design and Evaluation of Accelerated Life Testing Plans with Dual Objectives. Journal of Quality Technology 46:2, pages 114-126.
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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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Lu Lu, JessicaL. Chapman & ChristineM. Anderson-cook. (2013) A Case Study on Selecting a Best Allocation of New Data for Improving the Estimation Precision of System and Subsystem Reliability Using Pareto Fronts. Technometrics 55:4, pages 473-487.
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Veronica E Bowman & David C Woods. (2013) Weighted space-filling designs. Journal of Simulation 7:4, pages 249-263.
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JamesR. Simpson, CharlesM. Listak & GregoryT. Hutto. (2013) Guidelines for Planning and Evidence for Assessing a Well-Designed Experiment. Quality Engineering 25:4, pages 333-355.
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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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Rachel T. Johnson, Douglas C. Montgomery, Bradley Jones & Peter A. Parker. (2010) Comparing Computer Experiments for Fitting High-Order Polynomial Metamodels. Journal of Quality Technology 42:1, pages 86-102.
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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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Christine M. Anderson-Cook, Connie M. Borror & Bradley Jones. (2009) Graphical Tools for Assessing the Sensitivity of Response Surface Designs to Model Misspecification. Technometrics 51:1, pages 75-87.
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You-Jin Park, Diane E. Richardson, Douglas C. Montgomery, Ayca Ozol-Godfrey, Connie M. Borror & Christine M. Anderson-Cook. (2005) Prediction Variance Properties of Second-Order Designs for Cuboidal Regions. Journal of Quality Technology 37:4, pages 253-266.
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Ayca Ozol-Godfrey, Christine M. Anderson-Cook & Douglas C. Montgomery. (2005) Fraction of Design Space Plots for Examining Model Robustness. Journal of Quality Technology 37:3, pages 223-235.
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Heidi B. Goldfarb, Connie M. Borror, Douglas C. Montgomery & Christine M. Anderson-Cook. (2004) Evaluating Mixture-Process Designs with Control and Noise Variables. Journal of Quality Technology 36:3, pages 245-262.
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Heidi B. Goldfarb, Christine M. Anderson-Cook, Connie M. Borror & Douglas C. Montgomery. (2004) Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs. Journal of Quality Technology 36:2, pages 169-179.
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Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Connie M. Borror & Scott M. Kowalski. (2004) Response Surface Methodology: A Retrospective and Literature Survey. Journal of Quality Technology 36:1, pages 53-77.
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Amarachi Favour Didiugwu, Abimibola Victoria Oladugba & Ogochukwu Ifeoma Ude. Effects of error in factor levels on orthogonal composite designs for second-order models. Communications in Statistics - Theory and Methods 0:0, pages 1-19.
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Abimibola Victoria Oladugba, Brenda Mbouamba Yankam & Uchenna Charity Onwuamaeze. Fraction of design space plots for evaluating orthogonal composite designs. Communications in Statistics - Theory and Methods 0:0, pages 1-12.
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