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Computational Algebraic Geometry in Industrial Experimental Design

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Industrial Statistics

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

Pistone and Wynn (1996) introduced the idea of Gröbner bases into the design of experiments. This allows the study of “generalised confounding” in non-standard situations, that is for non-standard designs which arise in a number of situations. They were also able to study classical designs such as Plackett-Burman designs from this same view-point.

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References

  1. Pistone, G., Wynn, H. (1996). Generalised confounding with Gröbner bases. Biometrika, 83(3):653–666.

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  2. Caboara, M. and Pistone, G. and Riccomagno, E. and Wynn, H.P. (In progress). Generalised confounding II: the fan of an experimental design.

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  3. Cox, D., Little, J., O’Shea, D. (1992). Ideal, Varieties, and Algorithms. Springer-Verlag, New York.

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© 1997 Springer-Verlag Berlin Heidelberg

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Riccomagno, E., Wynn, H.P. (1997). Computational Algebraic Geometry in Industrial Experimental Design. In: Kitsos, C.P., Edler, L. (eds) Industrial Statistics. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-59268-3_16

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  • DOI: https://doi.org/10.1007/978-3-642-59268-3_16

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1042-4

  • Online ISBN: 978-3-642-59268-3

  • eBook Packages: Springer Book Archive

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