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 0943-4062

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Abstract

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
ISSN:	0943-4062
Date:	1999
Volume:	14
Number:	2
Number of Pages:	19
Page Range:	pp. 213-231
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/14361

Data sourced from Thomson Reuters' Web of Knowledge

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