Multivariate Statistical Quality Control Using R

  • Edgar Santos-Fernández

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST, volume 14)

Table of contents

  1. Front Matter
    Pages i-x
  2. Edgar Santos-Fernández
    Pages 1-15
  3. Edgar Santos-Fernández
    Pages 17-61
  4. Edgar Santos-Fernández
    Pages 63-85
  5. Edgar Santos-Fernández
    Pages 87-106
  6. Edgar Santos-Fernández
    Pages 107-119
  7. Back Matter
    Pages 121-127

About this book


​​​​​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. 


MSQC R multivariate analysis multivariate methodologies multivariate statistical quality control statistical quality control

Authors and affiliations

  • Edgar Santos-Fernández
    • 1
  1. 1.Abreu de Las VillasUniversidad Central MartaVilla ClaraCuba

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-5452-6
  • Online ISBN 978-1-4614-5453-3
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site
Industry Sectors
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Oil, Gas & Geosciences