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Statistics - Computational Statistics | Multivariate Statistical Quality Control Using R

Multivariate Statistical Quality Control Using R

Series: SpringerBriefs in Statistics, Vol. 14

Santos-Fernández, Edgar

2013, X, 127 p. 55 illus., 28 illus. in color.

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  • ​​Introduces R as a viable statistical quality control methodology
  • Covers construction of multivariate control charts and indices​
  • Presents the most important MSQC techniques developed in R language
​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis.  These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two  parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. 

Content Level » Research

Keywords » MSQC - R - multivariate analysis - multivariate methodologies - multivariate statistical quality control - statistical quality control

Related subjects » Computational Statistics - Statistics

Table of contents 

An introduction to R.- Basic Statistical and SQC Procedures.- Multivariate Control Charts.- Multivariate Process Capability.- Multivariate tools of support for MSQC.- Appendix.- Index.- Problem.- Solutions​

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