D-optimal designs for a two-dimensional polynomial model

Authors

  • Petr V. Shpilev St. Petersburg State University, 7-9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation

DOI:

https://doi.org/10.21638/spbu01.2024.310

Abstract

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

Issue

Section

Mathematics