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Technometrics Volume 62, 2020 - Issue 1
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Original Articles

Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components

Kalliopi MylonaDepartment of Mathematics, King’s College London, London, UK; ;Department of Statistics, Universidad Carlos III de Madrid, Getafe, Spain; View further author information
,
Steven G. GilmourDepartment of Mathematics, King’s College London, London, UK; View further author information
&
Peter GoosFaculty of Bioscience Engineering, KU Leuven, Leuven, Belgium; ;Faculty of Business and Economics, Universiteit Antwerpen, Antwerpen, BelgiumCorrespondence[email protected]
View further author information
Pages 57-70 | Received 03 Nov 2017, Accepted 01 Mar 2019, Published online: 21 Jun 2019

Citations (4)

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Read on this site (2)

Ping-Yang Chen, Ray-Bing Chen, Jui-Pin Li & William Li. (2022) Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs. Quality Engineering 34:3, pages 305-321.
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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 (2)

Matteo Borrotti, Francesco Sambo & Kalliopi Mylona. (2023) Multi-objective optimisation of split-plot designs. Econometrics and Statistics 28, pages 163-172.
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Nuno Costa & Paulo Fontes. (2020) Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods. Sustainability 12:18, pages 7603.
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