$D$-optimal saturated designs: a simulation study
Methodology
2014-01-07 v1 Combinatorics
Statistics Theory
Statistics Theory
Abstract
In this work we focus on saturated -optimal designs. Using recent results, we identify -optimal designs with the solutions of an optimization problem with linear constraints. We introduce new objective functions based on the geometric structure of the design and we compare them with the classical -efficiency criterion. We perform a simulation study. In all the test cases we observe that designs with high values of -efficiency have also high values of the new objective functions.
Cite
@article{arxiv.1401.0844,
title = {$D$-optimal saturated designs: a simulation study},
author = {Roberto Fontana and Fabio Rapallo and Maria Piera Rogantin},
journal= {arXiv preprint arXiv:1401.0844},
year = {2014}
}
Comments
8 pages. Preliminary version submitted to the 7th IWS Proceedings