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Original Articles

GEORGE'S COLUMN

Pages 321-330 | Published online: 30 Mar 2007

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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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MatthiasH. Y. Tan. (2013) Minimax Designs for Finite Design Regions. Technometrics 55:3, pages 346-358.
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Ashraf A. Almimi, Murat Kulahci & Douglas C. Montgomery. (2008) Follow-Up Designs to Resolve Confounding in Split-Plot Experiments. Journal of Quality Technology 40:2, pages 154-166.
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Søren Bisgaard & Andre Pinho. (2003) Follow-up Experiments to Verify Dispersion Effects: Taguchi's Welding Experiment. Quality Engineering 16:2, pages 335-343.
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IRAD BEN-GAL & MICHAEL CARAMANIS. (2002) Sequential DOE via dynamic programming. IIE Transactions 34:12, pages 1087-1100.
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C. Loy, T. N. Goh & M. Xie. (2002) Retrospective factorial fitting and reverse design of experiments. Total Quality Management 13:5, pages 589-602.
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Anil Menon, Sibu Chakrabarti & Nadhamuni Nerella. (2002) Sequential Experimentation in Product Development. I. Pharmaceutical Development and Technology 7:1, pages 33-41.
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George E. P. Box & John Tyssedal. (2001) SIXTEEN RUN DESIGNS OF HIGH PROJECTIVITY FOR FACTOR SCREENING. Communications in Statistics - Simulation and Computation 30:2, pages 217-228.
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George Box. (2001) Statistics for discovery. Journal of Applied Statistics 28:3-4, pages 285-299.
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Robert Mee. (2001) Noncentral Composite Designs. Technometrics 43:1, pages 34-43.
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JosephT. Emanuel & Muruganandan Palanisamy. (2000) SEQUENTIAL EXPERIMENTATION USING TWO-LEVEL FRACTIONAL FACTORIALS. Quality Engineering 12:3, pages 335-346.
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R. Daniel Meyer, DavidM. Steinberg & George Box. (1996) Follow-Up Designs to Resolve Confounding in Multifactor Experiments. Technometrics 38:4, pages 303-313.
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GeorgeE. P. Box. (1996) Role of statistics in quality and productivity improvement. Journal of Applied Statistics 23:1, pages 3-20.
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S⊘ren Bisgaard & HowardT. Fuller. (1995) Quality Quandaries∗ . Quality Engineering 8:1, pages 199-207.
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SØREN BISGAARD & HOWARDT. FULLER. (1994) QUALITY QUANDARIES∗ . Quality Engineering 7:2, pages 429-443.
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Articles from other publishers (14)

Wanggang Shen & Xun Huan. (2023) Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning. Computer Methods in Applied Mechanics and Engineering 416, pages 116304.
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B. D McCullough. 2020. Business Experiments with R. Business Experiments with R 347 356 .
Russell Barton, Marvin K. Nakayama & Lee Schruben. (2017) History of improving statistical efficiency. History of improving statistical efficiency.
Lee Schruben. 2017. Advances in Modeling and Simulation. Advances in Modeling and Simulation 17 25 .
Christopher GattiChristopher Gatti. 2015. Design of Experiments for Reinforcement Learning. Design of Experiments for Reinforcement Learning 53 66 .
Alex J. Gutman, Edward D. White, Dennis K.J. Lin & Raymond R. Hill. (2014) Augmenting supersaturated designs with Bayesian -optimality . Computational Statistics & Data Analysis 71, pages 1147-1158.
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Pablo J. Lebed, Sabrina Potvin, Dominic Larivière & Xiongxin Dai. (2014) Optimization of solid phase extraction chromatography for the separation of Np from U and Pu using experimental design tools in complex matrices. Anal. Methods 6:1, pages 139-146.
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Conrad A. Fung. (2014) George Box, quality, and improving almost anything. Applied Stochastic Models in Business and Industry 30:1, pages 71-79.
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Marcus B. Perry, Gary R. Mercado & James R. Simpson. (2013) On the Analysis of Balanced Two-Level Factorial Whole-Plot Saturated Split-Plot Designs. Quality and Reliability Engineering International 29:3, pages 327-343.
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David J. Edwards & Jeffrey N. Fuerte. (2011) Compromise ascent directions for multiple-response applications. Quality and Reliability Engineering International 27:8, pages 1107-1118.
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O. A. Vanli, Chuck Zhang & Ben Wang. (2011) An Adaptive Bayesian Method for Semiconductor Manufacturing Process Control With Small Experimental Data Sets. IEEE Transactions on Semiconductor Manufacturing 24:3, pages 418-431.
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H.-S. Jacob Tsao & Hongrui Liu. (2008) Optimal sequencing of test conditions in 2k factorial experimental design for run-size minimization. Computers & Industrial Engineering 55:2, pages 450-464.
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P. Persson, P. Kammerlind, B. Bergman & J. Andersson. (2000) A methodology for multi-characteristic system improvement with active expert involvement. Quality and Reliability Engineering International 16:5, pages 405-416.
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David M. Steinberg. 1996. Design and Analysis of Experiments. Design and Analysis of Experiments 199 240 .

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