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Multivariate Statistical Quality Control Using RMultivariate Control Charts

Multivariate Statistical Quality Control Using R: Multivariate Control Charts [This chapter is devoted to the main aspects concerning the multivariate control charts. It covers the multivariate normal distribution, the data structure, and the mult.chart function that allows the computation in R and the most used multivariate control charts such as the χ2, T2, the Multivariate Exponentially Weighted Moving Average, the Multivariate Cumulative Sum, and the chart based on Principal Components Analysis.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Multivariate Statistical Quality Control Using RMultivariate Control Charts

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Publisher
Springer New York
Copyright
© Springer Science+Business Media New York 2012
ISBN
978-1-4614-5452-6
Pages
17 –61
DOI
10.1007/978-1-4614-5453-3_2
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter is devoted to the main aspects concerning the multivariate control charts. It covers the multivariate normal distribution, the data structure, and the mult.chart function that allows the computation in R and the most used multivariate control charts such as the χ2, T2, the Multivariate Exponentially Weighted Moving Average, the Multivariate Cumulative Sum, and the chart based on Principal Components Analysis.]

Published: Aug 23, 2012

Keywords: Covariance Matrix; Control Chart; Multivariate Normal Distribution; Lower Control Limit; Multivariate Exponentially Weight Move Average

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