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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 40, 2008 - Issue 1
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Articles

Designing and Running Super-Efficient Experiments: Optimum Blocking With One Hard-to-Change Factor

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Pages 31-45 | Published online: 21 Nov 2017

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Read on this site (6)

Bagus Sartono, Peter Goos & Eric Schoen. (2015) Constructing General Orthogonal Fractional Factorial Split-Plot Designs. Technometrics 57:4, pages 488-502.
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Heidi Arnouts & Peter Goos. (2012) Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor. Technometrics 54:4, pages 355-366.
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Bradley Jones & Peter Goos. (2012) I-Optimal Versus D-Optimal Split-Plot Response Surface Designs. Journal of Quality Technology 44:2, pages 85-101.
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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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Bradley Jones & Christopher J. Nachtsheim. (2009) Split-Plot Designs: What, Why, and How. Journal of Quality Technology 41:4, pages 340-361.
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Peter Goos & James M. Lucas. (2009) Letter to the Editor. Technometrics 51:1, pages 96-97.
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Articles from other publishers (10)

Robert V. Binder. (2018) Optimal Scheduling for Combinatorial Software Testing and Design of Experiments. Optimal Scheduling for Combinatorial Software Testing and Design of Experiments.
Daniel Palhazi Cuervo, Peter Goos & Kenneth Sörensen. (2017) An algorithmic framework for generating optimal two-stratum experimental designs. Computational Statistics & Data Analysis 115, pages 224-249.
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Carla A. Vivacqua, Linda Lee Ho & André L.S. Pinho. (2017) Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty. International Journal of Quality & Reliability Management 34:8, pages 1152-1166.
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Linda Lee Ho, Carla A. Vivacqua & André Luís Santos de Pinho. (2015) Minimum Setup Minimum Aberration Two‐level Split‐plot Type Designs for Physical Prototype Testing. Quality and Reliability Engineering International 32:3, pages 1007-1020.
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Eugene C. Ukaegbu & Polycarp E. Chigbu. (2014) Graphical Evaluation of the Prediction Capabilities of Partially Replicated Orthogonal Central Composite Designs. Quality and Reliability Engineering International 31:4, pages 707-717.
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Byran J. Smucker, Enrique del Castillo & James L. Rosenberger. (2012) Model-robust designs for split-plot experiments. Computational Statistics & Data Analysis 56:12, pages 4111-4121.
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Viktor P. Astakhov. 2012. Statistical and Computational Techniques in Manufacturing. Statistical and Computational Techniques in Manufacturing 1 54 .
Jeffrey C. Moreland, Julia L. Sharp & Philip J. Brown. (2010) Lab-Scale Fiber Spinning Experimental Design Cost Comparison. Journal of Engineered Fibers and Fabrics 5:1, pages 155892501000500.
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Heidi Arnouts, Peter Goos & Bradley Jones. (2009) Design and analysis of industrial strip‐plot experiments. Quality and Reliability Engineering International 26:2, pages 127-136.
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James M. Lucas. (2009) Discussion of “Response surface design evaluation and comparison” by Christine Anderson-Cook, Connie Borror and Douglas Montgomery. Journal of Statistical Planning and Inference 139:2, pages 660-661.
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