The application of computational algebraic geometry to the analysis of designed experiments: a case study
UNSPECIFIED (1999) The application of computational algebraic geometry to the analysis of designed experiments: a case study. COMPUTATIONAL STATISTICS, 14 (2). pp. 213-231. ISSN 0943-4062Full text not available from this repository.
Computational algebraic geometry can be used to solve estimability/identifiability problems in the design of experiments. The key is to replace the design as a set of points by the polynomials whose solutions are the design points. The theory and application of Grobner bases allows one to find a unique saturated model for each so-called monomial ordering of the independent factors. A case study in engine mapping is fully worked out and employs a simple plotting method for modelling.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics|
|Journal or Publication Title:||COMPUTATIONAL STATISTICS|
|Publisher:||PHYSICA VERLAG GMBH|
|Number of Pages:||19|
|Page Range:||pp. 213-231|
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