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Autori principali: Hameed, Mohammed Saif Ismail, Schoen, Eric D., Ares, Jose Nunez, Goos, Peter
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2512.21060
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author Hameed, Mohammed Saif Ismail
Schoen, Eric D.
Ares, Jose Nunez
Goos, Peter
author_facet Hameed, Mohammed Saif Ismail
Schoen, Eric D.
Ares, Jose Nunez
Goos, Peter
contents For the majority of run sizes N where N <= 20, the literature reports the best D- and A-optimal designs for the main-effects model which sequentially minimizes the aliasing between main effects and interaction effects and among interaction effects. The only series of run sizes for which all the minimally aliased D- and A-optimal main-effects designs remain unknown are those with run sizes three more than a multiple of four. To address this, in our paper, we propose an algorithm to generate all non-isomorphic D- and A-optimal main-effects designs for run sizes three more than a multiple of four. We enumerate all such designs for run sizes up to 19, report the numbers of designs we obtained, and identify those that minimize the aliasing between main effects and interaction effects and among interaction effects.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21060
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four
Hameed, Mohammed Saif Ismail
Schoen, Eric D.
Ares, Jose Nunez
Goos, Peter
Methodology
For the majority of run sizes N where N <= 20, the literature reports the best D- and A-optimal designs for the main-effects model which sequentially minimizes the aliasing between main effects and interaction effects and among interaction effects. The only series of run sizes for which all the minimally aliased D- and A-optimal main-effects designs remain unknown are those with run sizes three more than a multiple of four. To address this, in our paper, we propose an algorithm to generate all non-isomorphic D- and A-optimal main-effects designs for run sizes three more than a multiple of four. We enumerate all such designs for run sizes up to 19, report the numbers of designs we obtained, and identify those that minimize the aliasing between main effects and interaction effects and among interaction effects.
title Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four
topic Methodology
url https://arxiv.org/abs/2512.21060