Optimal designs for third-order interactions in paired comparison experiments
Methodology
2019-12-04 v1
Abstract
It is shown how by not losing information on higher order interactions, optimal paired comparison designs involving alternatives of either full or partial profiles to reduce information overload as frequently encountered in applications can be constructed which enable identification of main effects up to third-order interactions when all attributes have general common number of levels.
Cite
@article{arxiv.1912.01578,
title = {Optimal designs for third-order interactions in paired comparison experiments},
author = {Eric Nyarko},
journal= {arXiv preprint arXiv:1912.01578},
year = {2019}
}
Comments
21 pages, 3 tables, higher order interactions for paired comparison experiments with full or partial profiles. arXiv admin note: text overlap with arXiv:1908.06090 and arXiv:1908.06092