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Multivariate Statistical Quality Control Using RTools of Support to MSQC

Multivariate Statistical Quality Control Using R: Tools of Support to MSQC [As a general rule, normality and independence of the data is required in Statistical Process Control and the multivariate extensions are not the exception. Different tools are presented—graphical methods, marginal and multivariate normality test, solutions to the departures from normality, and a randomness test.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Multivariate Statistical Quality Control Using RTools of Support to MSQC

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Publisher
Springer New York
Copyright
© Springer Science+Business Media New York 2012
ISBN
978-1-4614-5452-6
Pages
87 –106
DOI
10.1007/978-1-4614-5453-3_4
Publisher site
See Chapter on Publisher Site

Abstract

[As a general rule, normality and independence of the data is required in Statistical Process Control and the multivariate extensions are not the exception. Different tools are presented—graphical methods, marginal and multivariate normality test, solutions to the departures from normality, and a randomness test.]

Published: Aug 23, 2012

Keywords: Quality Characteristic; Control Chart; Data Frame; Multivariate Normality; Omnibus Test

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