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Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 3
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Original Articles

Computing A-optimal and E-optimal designs for regression models via semidefinite programming

Jane J. YeDepartment of Mathematics and Statistics, University of Victoria, Victoria, Canada
,
Julie ZhouDepartment of Mathematics and Statistics, University of Victoria, Victoria, CanadaCorrespondence[email protected]
&
Wenjie ZhouDepartment of Mathematics and Statistics, University of Victoria, Victoria, Canada
Pages 2011-2024 | Received 09 Jul 2014, Accepted 13 Mar 2015, Published online: 21 Nov 2016

Citations (6)

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Read on this site (2)

Pengqi Liu, Lucy L. Gao & Julie Zhou. (2022) R-optimal designs for multi-response regression models with multi-factors. Communications in Statistics - Theory and Methods 51:2, pages 340-355.
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Weng Kee Wong, Yue Yin & Julie Zhou. (2019) Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming. Journal of Computational and Graphical Statistics 28:1, pages 61-73.
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Articles from other publishers (4)

Kai Yzenbrandt & Julie Zhou. (2021) Minimax robust designs for regression models with heteroscedastic errors. Metrika 85:2, pages 203-222.
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Chi-Kuang Yeh & Julie Zhou. (2019) Properties of optimal regression designs under the second-order least squares estimator. Statistical Papers 62:1, pages 75-92.
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Weng Kee Wong, Yue Yin & Julie Zhou. (2017) Using SeDuMi to find various optimal designs for regression models. Statistical Papers 60:5, pages 1583-1603.
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Weng Kee WongJulie Zhou. (2019) CVX‐based algorithms for constructing various optimal regression designs. Canadian Journal of Statistics 47:3, pages 374-391.
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