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arxiv: 0709.2997 · v1 · submitted 2007-09-19 · 📊 stat.ME · stat.CO

Two polynomial representations of experimental design

classification 📊 stat.ME stat.CO
keywords designdesignsexperimentalpolynomialssetsthemusedalgebraic
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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.

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