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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 36, 2004 - Issue 2
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Articles

Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs

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Pages 169-179 | Published online: 16 Feb 2018

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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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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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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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Lulu Kang, Javier Cruz Salgado & William A. Brenneman. (2016) Comparing the Slack-Variable Mixture Model With Other Alternatives. Technometrics 58:2, pages 255-268.
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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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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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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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Articles from other publishers (26)

Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2023) Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm. Mathematics 11:16, pages 3558.
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Mario Becerra & Peter Goos. (2023) Bayesian D- and I-optimal designs for choice experiments involving mixtures and process variables. Food Quality and Preference 110, pages 104928.
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Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2021) Using geometric mean to compute robust mixture designs. Quality and Reliability Engineering International 37:8, pages 3441-3464.
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Sonja Kuhnt, Eva‐Christina Becker‐Emden, Tim Schade, Wolfgang Eden & Bernhard Middendorf. (2020) Use of optimal mixture‐process designs and response‐surface models to study properties of calcium silicate units. Quality and Reliability Engineering International 37:2, pages 391-408.
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Wasinee Pradubsri, Boonorm Chomtee & John J. Borkowski. (2019) Using a genetic algorithm to generate D‐optimal designs for mixture‐process variable experiments. Quality and Reliability Engineering International 35:8, pages 2657-2676.
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Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2019) The construction of robust mixture‐process experimental designs via genetic algorithm. Quality and Reliability Engineering International 35:6, pages 1582-1602.
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Wanida Limmun, John J. Borkowski & Boonorm Chomtee. (2018) Weighted A-optimality criterion for generating robust mixture designs. Computers & Industrial Engineering 125, pages 348-356.
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Christine M. Anderson‐Cook & Lu Lu. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 12 .
Javier Cruz-Salgado. (2016) Comparing the Intercept Mixture Model with the Slack-Variable Mixture Model. Ingeniería, Investigación y Tecnología 17:3, pages 383-393.
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Dae‐Heung Jang & Christine M. Anderson‐Cook. (2014) Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture‐Process Experiments. Quality and Reliability Engineering International 31:8, pages 1483-1494.
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Cruz-Salgado Javier. (2015) Selecting the Slack Variable in Mixture Experiment. Ingeniería, Investigación y Tecnología 16:4, pages 613-623.
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Christine Anderson‐Cook. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Ali Erkoc, Esra Emiroglu & Kadri Ulas Akay. (2014) Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments. The Scientific World Journal 2014, pages 1-9.
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Wen-Jang Chen, Wen-Ta Su & Hsiu-Ying Hsu. (2012) Continuous flow electrocoagulation for MSG wastewater treatment using polymer coagulants via mixture-process design and response-surface methods. Journal of the Taiwan Institute of Chemical Engineers 43:2, pages 246-255.
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Jian Hu. (2012) Mixture and Mixture–Process Variable Experiments for Paint Preparation Applications. Advanced Materials Research 457-458, pages 1465-1469.
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Jian Hu. (2011) Mixture Experiments Design Including Interactions with Process Variables for Applications in Paint Preparation. Advanced Materials Research 418-420, pages 965-971.
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John A. Cornell. 2011. A Primer on Experiments with Mixtures. A Primer on Experiments with Mixtures 247 284 .
John A. Cornell. 2011. A Primer on Experiments with Mixtures. A Primer on Experiments with Mixtures 299 315 .
Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 435 511 .
Dae‐Heung Jang & Christine M. Anderson‐Cook. (2011) Fraction of design space plots for evaluating ridge estimators in mixture experiments. Quality and Reliability Engineering International 27:1, pages 27-34.
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George J. Besseris. (2009) Multi‐response unreplicated‐saturated Taguchi designs and super‐ranking in food formulation improvement. International Journal of Quality & Reliability Management 26:4, pages 341-368.
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Christine M. Anderson-Cook, Connie M. Borror & Douglas C. Montgomery. (2009) Response surface design evaluation and comparison. Journal of Statistical Planning and Inference 139:2, pages 629-641.
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Ayca Ozol-Godfrey, Christine Anderson-Cook & Timothy J. Robinson. (2008) Fraction of design space plots for generalized linear models. Journal of Statistical Planning and Inference 138:1, pages 203-219.
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Christine Anderson‐Cook. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Li Liang, Christine M. Anderson‐Cook & Timothy J. Robinson. (2006) Fraction of Design Space Plots for Split‐plot Designs. Quality and Reliability Engineering International 22:3, pages 275-289.
Crossref
Christine M. Anderson‐Cook, Heidi B. Goldfarb, Connie M. Borror, Douglas C. Montgomery, Kelly G. Canter & John N. Twist. (2004) Mixture and mixture–process variable experiments for pharmaceutical applications. Pharmaceutical Statistics 3:4, pages 247-260.
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