R-optimal designs for multi-response regression models with multi-factors-Reference-Cited by-同舟云学术

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R-optimal designs for multi-response regression models with multi-factors

Published:2020-04-12 Issue:2 Volume:51 Page:340-355
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Liu Pengqi¹,Gao Lucy L.²,Zhou Julie³

Affiliation:

1. Department of Statistics and Data Science, Yale University, New Haven, Connecticut, USA

2. Department of Biostatistics, University of Washington, Seattle, Washington, USA

3. Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1748655

Reference24 articles.

1. Application of semi-definite programming to the design of multi-response experiments

2. Optimal design of multi-response experiments using semi-definite programming

3. Optimal design measures under asymmetric errors, with application to binary design points

4. Convex Optimization

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. R -optimal designs for Becker’s models for mixture experiments;Communications in Statistics - Simulation and Computation;2024-05-31

2. Locally R-optimal designs for a class of nonlinear multiple regression models;Statistical Theory and Related Fields;2022-12-12

3. R-optimal designs for mixture models in two types of regions;Communications in Statistics - Theory and Methods;2022-09-11

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