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Journal of the American Statistical Association Volume 105, 2010 - Issue 492
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Theory and Methods

Weighted Optimality in Designed Experimentation

John P. Morgan John P. Morgan is Professor, Department of Statistics, Virginia Tech, Blacksburg, VA 24061-0439 . Xiaowei Wang is Senior Statistician, Glaxo Smith Kline, King of Prussia, PA 19406. J. P. Morgan was supported by the United States National Science Foundation grant DMS06-04997, as was Xiaowei Wang while a graduate student at Virginia Tech. J. P. Morgan also extends warm thanks to the Isaac Newton Institute for Mathematical Sciences, wherein a portion of this work was completed.
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Xiaowei Wang John P. Morgan is Professor, Department of Statistics, Virginia Tech, Blacksburg, VA 24061-0439 . Xiaowei Wang is Senior Statistician, Glaxo Smith Kline, King of Prussia, PA 19406. J. P. Morgan was supported by the United States National Science Foundation grant DMS06-04997, as was Xiaowei Wang while a graduate student at Virginia Tech. J. P. Morgan also extends warm thanks to the Isaac Newton Institute for Mathematical Sciences, wherein a portion of this work was completed.
Pages 1566-1580 | Received 01 Feb 2010, Published online: 01 Jan 2012

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Read on this site (2)

Katherine Allen-Moyer & Jonathan Stallrich. (2022) Incorporating Minimum Variances into Weighted Optimality Criteria. The American Statistician 76:3, pages 262-269.
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J.P. Morgan & Xiaowei Wang. (2011) E-Optimality in Treatment versus Control Experiments. Journal of Statistical Theory and Practice 5:1, pages 99-107.
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Articles from other publishers (12)

Taeyoon Lee, Bryan D. Lee & Frank C. Park. (2021) Optimal excitation trajectories for mechanical systems identification. Automatica 131, pages 109773.
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Samuel Rosa. (2020) Optimal experimental designs for treatment contrasts in heteroscedastic models with covariates. Journal of Statistical Planning and Inference 209, pages 280-291.
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Samuel Rosa. (2019) Equivalence of weighted and partial optimality of experimental designs. Metrika 82:6, pages 719-732.
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Kim May Lee & James Wason. (2019) Design of experiments for a confirmatory trial of precision medicine. Journal of Statistical Planning and Inference 199, pages 179-187.
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I. Manjula Schou & Ian C. Marschner. (2017) Design of clinical trials involving multiple hypothesis tests with a common control. Biometrical Journal 59:4, pages 636-657.
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J. P. Morgan & Jonathan Stallings. (2017) Optimal experimental design that targets meaningful information. Wiley Interdisciplinary Reviews: Computational Statistics 9:2.
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J. W. Stallings & J. P. Morgan. (2015) General weighted optimality of designed experiments. Biometrika 102:4, pages 925-935.
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R.A. Bailey & A. Łacka. (2015) Nested row–column designs for near-factorial experiments with two treatment factors and one control treatment. Journal of Statistical Planning and Inference 165, pages 63-77.
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Emlyn Williams & Hans-Peter Piepho. (2015) Optimality and Contrasts in Block Designs with Unequal Treatment Replication. Australian & New Zealand Journal of Statistics 57:2, pages 203-209.
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Xiaowei Wang & J.P. Morgan. (2012) RCBDs with a control. Journal of Statistical Planning and Inference 142:5, pages 1225-1233.
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J. P. Morgan & Xinwei Deng. (2012) Experimental design. WIREs Data Mining and Knowledge Discovery 2:2, pages 164-172.
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X. Wang & J. P. Morgan. (2011) Blocking, efficiency and weighted optimality. Biometrika 98:4, pages 967-978.
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