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Multidimensional scaling used in multivariate statistical process control

Lookup NU author(s): Dr Trevor Cox

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Abstract

This paper considers the use of multidimensional scaling techniques in multivariate statistical process control. Principal components analysis, multiple principal components analysis, partial least squares and PARAFAC models have already been established as useful methods for such, but it should be possible to widen the portfolio of techniques to include others that come under the multidimensional scaling class. Some of these are briefly described-namely classical scaling, non-metric scaling, biplots, Procrustes analysis-and are then used on some gas transportation data provided by Transco.

Publication metadata

Author(s): Cox TF

Publication type: Article

Publication status: Published

Journal: Journal of Applied Statistics

Year: 2001

Volume: 28

Issue: 3-4

Pages: 365-378

Print publication date: 02/08/2010

ISSN (print): 0266-4763

ISSN (electronic): 1360-0532

Publisher: Routledge

URL: http://dx.doi.org/10.1080/02664760120034108

DOI: 10.1080/02664760120034108

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