English

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}
}

Comments

13 pages

R2 v1 2026-06-21T09:19:03.274Z