Li, Qiyu; Molchanov, Ilya (2019). Optimal design for multivariate multiple linear regression with set-identified response. Journal of statistical planning and inference, 203, pp. 215-223. Elsevier 10.1016/j.jspi.2019.04.003
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We consider the partially identified regression model with set-identified responses, where the estimator is the set of the least square estimators obtained for all possible choices of points sampled from set-identified observations. We address the issue of determining the optimal design for this case and show that, for objective functions mimicking those for several classical optimal designs, their set-identified analogues coincide with the optimal designs for point-identified real-valued responses.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science |
UniBE Contributor: |
Li, Qiyu, Molchanov, Ilya |
Subjects: |
500 Science > 510 Mathematics |
ISSN: |
0378-3758 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Ilya Molchanov |
Date Deposited: |
14 Jan 2020 09:40 |
Last Modified: |
05 Dec 2022 15:35 |
Publisher DOI: |
10.1016/j.jspi.2019.04.003 |
BORIS DOI: |
10.7892/boris.138559 |
URI: |
https://boris.unibe.ch/id/eprint/138559 |