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Quality Engineering Volume 23, 2011 - Issue 2
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Original Articles

Technical Advice: Design of Experiments, Response Surface Methodology, and Sequential Experimentation

Geoff Vining Department of Statistics, Virginia Tech, Blacksburg, VirginiaCorrespondence[email protected]
Pages 217-220 | Published online: 09 Mar 2011

Citations (14)

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Read on this site (6)

Willis A. Jensen. (2018) Open problems and issues in optimal design. Quality Engineering 30:4, pages 583-593.
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Geoff Vining. (2017) Discussion of “Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application”. Quality Engineering 29:1, pages 110-114.
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Willis A. Jensen. (2016) Confirmation Runs in Design of Experiments. Journal of Quality Technology 48:2, pages 162-177.
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Geoff Vining. (2016) Discussion of “21st century screening experiments: What, why, and how?”. Quality Engineering 28:1, pages 115-121.
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LauraJ. Freeman, AnneG. Ryan, JenniferL. K. Kensler, RebeccaM. Dickinson & G. Geoffrey Vining. (2013) A Tutorial on the Planning of Experiments. Quality Engineering 25:4, pages 315-332.
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Geoff Vining. (2013) Technical Advice: Scientific Method and Approaches for Collecting Data. Quality Engineering 25:2, pages 194-201.
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Articles from other publishers (8)

Nuno Costa & João Lourenço. (2022) Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product. Sustainability 14:22, pages 14910.
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Ha-Eun Byun, Boeun Kim & Jay H. Lee. (2022) Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization. Computers & Chemical Engineering 167, pages 107987.
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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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Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro & Luigi Salmaso. (2021) Design of Experiments and machine learning for product innovation: A systematic literature review. Quality and Reliability Engineering International 38:2, pages 1131-1156.
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B. D McCullough. 2020. Business Experiments with R. Business Experiments with R 347 356 .
G. Geoffrey Vining. 2018. Frontiers in Statistical Quality Control 12. Frontiers in Statistical Quality Control 12 341 353 .
Pere Grima, Lluís Marco-Almagro & Xavier Tort-Martorell. (2017) Blocking versus robustness in industrial contexts. Quality and Reliability Engineering International 33:8, pages 2121-2130.
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Shuping Dong, Michael J. Bortner & Maren Roman. (2016) Analysis of the sulfuric acid hydrolysis of wood pulp for cellulose nanocrystal production: A central composite design study. Industrial Crops and Products 93, pages 76-87.
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