Two polynomial representations of experimental design

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dc.creatorNotari, Roberto
dc.creatorRiccomagno, Eva
dc.creatorRogantin, Maria-Piera
dc.date2007-09-19
dc.date.accessioned2026-07-07T10:01:31Z
dc.date.available2026-07-07T10:01:31Z
dc.descriptionIn 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.
dc.description13 pages
dc.identifierhttps://arxiv.org/abs/0709.2997
dc.identifierhttp://arxiv.org/abs/0709.2997
dc.identifierJournal of Statistical Theory and Practice, 1:3-4, 329-346 (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/168656
dc.subjectMethodology
dc.subjectComputation
dc.titleTwo polynomial representations of experimental design
dc.typetext

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