Two polynomial representations of experimental design
Methodology
2008-09-10 v1 Computation
Abstract
In the context of algebraic statistics an experimental design is described by a set of polynomials called the design ideal. This, in turn, is generated by finite sets of polynomials. Two types of generating sets are mostly used in the literature: Groebner bases and indicator functions. We briefly describe them both, how they are used in the analysis and planning of a design and how to switch between them. Examples include fractions of full factorial designs and designs for mixture experiments.
Keywords
Cite
@article{arxiv.0709.2997,
title = {Two polynomial representations of experimental design},
author = {Roberto Notari and Eva Riccomagno and Maria-Piera Rogantin},
journal= {arXiv preprint arXiv:0709.2997},
year = {2008}
}
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13 pages