Computing A-optimal and E-optimal designs for regression models via semidefinite programming
dc.contributor.author | Ye, Jane J. | |
dc.contributor.author | Zhou, Julie | |
dc.contributor.author | Zhou, Wenjie | |
dc.date.accessioned | 2016-06-28T20:49:00Z | |
dc.date.available | 2016-06-28T20:49:00Z | |
dc.date.copyright | 2015 | en_US |
dc.date.issued | 2015 | |
dc.description.abstract | In semidefinite programming (SDP), we minimize a linear objective function subject to a linear matrix being positive semidefinite. A powerful program, SeDuMi, has been developed in MATLAB to solve SDP problems. In this paper, we show in detail how to formulate A-optimal and E-optimal design problems as SDP problems and solve them by SeDuMi. This technique can be used to construct approximate A-optimal and E-optimal designs for all linear and non-linear regression models with discrete design spaces. In addition, the results on discrete design spaces provide useful guidance for finding optimal designs on any continuous design space, and a convergence result is derived. Moreover, restrictions in the designs can be easily incorporated in the SDP problems and solved by SeDuMi. Several representative examples and one MATLAB program are given. | en_US |
dc.description.reviewstatus | Reviewed | en_US |
dc.description.scholarlevel | Faculty | en_US |
dc.description.sponsorship | This research work is supported by Discovery Grants from the Natural Science and Engineering Research Council of Canada. The authors would like to thank the referees for their helpful comments and suggestions. | en_US |
dc.identifier.citation | Ye, J.J., Zhou, J., & Zhou, W. (2015). Computing A-optimal and E-optimal designs for regression models via semidefinite programming. Communications in Statistics – Simulation and Computation. | en_US |
dc.identifier.uri | http://dx.doi.org/10.1080/03610918.2015.1030414 | |
dc.identifier.uri | http://hdl.handle.net/1828/7382 | |
dc.language.iso | en | en_US |
dc.publisher | Communications in Statistics – Simulation and Computation | en_US |
dc.subject | A-optimality | en_US |
dc.subject | E-optimality | en_US |
dc.subject | nonlinear regression | en_US |
dc.subject | SeDuMi | en_US |
dc.subject | semidefinite programming | en_US |
dc.subject | trigonometric regression | en_US |
dc.title | Computing A-optimal and E-optimal designs for regression models via semidefinite programming | en_US |
dc.type | Postprint | en_US |