© 2013

Multivariate Statistical Quality Control Using R


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

  1. 1.Abreu de Las VillasUniversidad Central MartaVilla ClaraCuba

Bibliographic information


The author does a nice job explaining a variety of concepts and clearly demonstrates their use with examples supported by R code and graphics...In summary, I believe that this is a good R text on MSQC methods and how to implement them in R. I would recommend this text to quality, industrial, and process engineers.
Technometrics 65:1 2014