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A little-known robust estimator of the correlation coefficient and its use in a robust graphical test for bivariate normality with applications in the aluminium industry

Lookup NU author(s): Oystein Evandt, Dr Shirley ColemanORCiD, Carolyn Van Lottum

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Abstract

The robust estimator of the correlation coefficient and its use in a robust graphical test for bivariate normality with applications in aluminium industry are discussed. The estimator is a transformation of kendalls tau. Business and industrial improvement requires the use of information that can be extracted from multivariate data. The robust graphical test comes from an approximate MVN distribution and will help to identify outliers and confirms that the data comes from an approximate bivariate normal distribution.

Publication metadata

Author(s): Evandt O, Coleman S, Ramalhoto MF, Van Lottum C

Publication type: Article

Publication status: Published

Journal: Quality and Reliability Engineering International

Year: 2004

Volume: 20

Issue: 5

Pages: 433-456

ISSN (print): 0748-8017

ISSN (electronic): 1099-1638

Publisher: John Wiley & Sons Ltd

URL: http://dx.doi.org/10.1002/qre.658

DOI: 10.1002/qre.658

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