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Technometrics Volume 57, 2015 - Issue 1
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Original Articles

Approximate Model Spaces for Model-Robust Experiment Design

Byran J. SmuckerDepartment of Statistics, Miami University, Oxford, OH45056 ([email protected])
&
Nathan M. DrewNanotechnology Research Center, National Institute for Occupational Safety and Health, CincinnatiOH45226 ([email protected])
Pages 54-63 | Received 01 Sep 2012, Published online: 04 Mar 2015

Citations (12)

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Ping-Yang Chen, Ray-Bing Chen, Jui-Pin Li & William Li. (2022) Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs. Quality Engineering 34:3, pages 305-321.
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Maria L. Weese, Jonathan W. Stallrich, Byran J. Smucker & David J. Edwards. (2021) Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs. Technometrics 63:4, pages 443-455.
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Paul Kristoffersen & Byran J. Smucker. (2020) Model-robust design of mixture experiments. Quality Engineering 32:4, pages 663-675.
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Nha Vo-Thanh, Eric D. Schoen & Peter Goos. (2020) Row-column arrangements of regular and nonregular fractional factorial two-level designs. Journal of Quality Technology 52:3, pages 304-322.
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Alan R. Vazquez, Peter Goos & Eric D. Schoen. (2019) Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays. Technometrics 61:2, pages 219-232.
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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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Robert W. Mee, Eric D. Schoen & David J. Edwards. (2017) Selecting an Orthogonal or Nonorthogonal Two-Level Design for Screening. Technometrics 59:3, pages 305-318.
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Chang-Yun Lin. Cause-and-effect diagram-based supersaturated designs. Quality Engineering 0:0, pages 1-16.
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Articles from other publishers (4)

Rakhi Singh & John Stufken. (2024) Factor selection in screening experiments by aggregation over random models. Computational Statistics & Data Analysis 194, pages 107940.
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Alan R. Vazquez, Weng Kee Wong & Peter Goos. (2022) Constructing two-level $$Q_B$$-optimal screening designs using mixed-integer programming and heuristic algorithms. Statistics and Computing 33:1.
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Heloisa M. de Oliveira, César B. A. de Oliveira, Steven G. Gilmour & Luzia A. Trinca. (2022) Compound optimality criteria and graphical tools for designs for prediction. Quality and Reliability Engineering International 38:7, pages 3543-3558.
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David C. Woods, James M. McGree & Susan M. Lewis. (2017) Model selection via Bayesian information capacity designs for generalised linear models. Computational Statistics & Data Analysis 113, pages 226-238.
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