D-optimal designs for a two-dimensional polynomial model
DOI:
https://doi.org/10.21638/spbu01.2024.310Abstract
The influence of an affine transformation of the design space on the number of support points in the D-optimal design has been studied for a two-dimensional polynomial regression model. For a full rank model of degree n, a result was obtained that determines the structure of the D-optimal plan. It is proven that for a region of design space that is symmetric about zero, the optimal plan is symmetric as well. This result allows for a significant reduction in the dimensionality of the optimization problem and forms the basis of an algorithm developed by the author for finding D-optimal plans for models of incomplete rank in nonsymmetric design regions. The D-efficiency of designs concentrated at equidistant points was investigated.Keywords:
multivariate regression models, two-dimensional polynomial regression models, D-optimal designs, D-efficiency
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Published
2024-10-15
How to Cite
Shpilev, P. V. (2024). D-optimal designs for a two-dimensional polynomial model. Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy, 11(3), 537–548. https://doi.org/10.21638/spbu01.2024.310
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Mathematics
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Articles of "Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy" are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.