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Technometrics Volume 54, 2012 - Issue 4
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Original Articles

Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor

Heidi Arnouts Faculty of Applied Economics & StatUa Center for Statistics, Universiteit Antwerpen, 2000 Antwerpen, Belgium
&
Peter Goos Faculty of Applied Economics & StatUa Center for Statistics, Universiteit Antwerpen, 2000 Antwerpen, Belgium; Erasmus School of Economics, Erasmus Universiteit Rotterdam, 3000 DR Rotterdam, The Netherlands
Pages 355-366 | Received 01 Dec 2009, Published online: 28 Nov 2012

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Chang-Yun Lin & Po Yang. (2022) Bayesian analysis and follow-up experiments for supersaturated multistratum designs. Journal of Quality Technology 54:5, pages 527-546.
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Chang-Yun Lin. (2020) Generalized Bayesian D-optimal supersaturated multistratum designs. Quality Engineering 32:2, pages 212-222.
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Kalliopi Mylona, Steven G. Gilmour & Peter Goos. (2020) Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. Technometrics 62:1, pages 57-70.
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Chang-Yun Lin. (2019) Supersaturated multistratum designs. Journal of Quality Technology 51:4, pages 325-337.
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Peter Goos & Eric D. Schoen. (2019) Discussion on “Søren Bisgaard's contributions to Quality Engineering: Design of experiments”. Quality Engineering 31:1, pages 157-161.
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Peter Goos & Kalliopi Mylona. (2018) Quadrature Methods for Bayesian Optimal Design of Experiments With Nonnormal Prior Distributions. Journal of Computational and Graphical Statistics 27:1, pages 179-194.
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Heidi Arnouts & Peter Goos. (2015) Staggered-Level Designs for Response Surface Modeling. Journal of Quality Technology 47:2, pages 156-175.
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Kalliopi Mylona, Peter Goos & Bradley Jones. (2014) Optimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation. Technometrics 56:2, pages 132-144.
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Heidi Arnouts, Peter Goos & Bradley Jones. (2013) Three-Stage Industrial Strip-Plot Experiments. Journal of Quality Technology 45:1, pages 1-17.
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Peter Goos, Katherine Brickey & Ying Chen. A blocked staggered-level design for an experiment with two hard-to-change factors. Journal of Quality Technology 0:0, pages 1-18.
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Articles from other publishers (4)

Rayen Yanara Valdivia-Olivares, Maria Rodriguez-Fernandez, María Javiera Álvarez-Figueroa, Alexis M. Kalergis & José Vicente González-Aramundiz. (2021) The Importance of Nanocarrier Design and Composition for an Efficient Nanoparticle-Mediated Transdermal Vaccination. Vaccines 9:12, pages 1420.
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Chang-Yun Lin & Po Yang. (2019) Data-driven multistratum designs with the generalized Bayesian - criterion for highly uncertain models . Computational Statistics & Data Analysis 138, pages 222-238.
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Chang‐Yun Lin. (2018) Generalized Bayesian D criterion for single‐stratum and multistratum designs . Quality and Reliability Engineering International 34:8, pages 1566-1574.
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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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