Authors:
- 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
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST, volume 14)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Reviews
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
Authors and Affiliations
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Abreu de Las Villas, Universidad Central Marta, Villa Clara, Cuba
Edgar Santos-Fernández
Bibliographic Information
Book Title: Multivariate Statistical Quality Control Using R
Authors: Edgar Santos-Fernández
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-1-4614-5453-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Softcover ISBN: 978-1-4614-5452-6Published: 22 September 2012
eBook ISBN: 978-1-4614-5453-3Published: 22 September 2012
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: X, 127
Number of Illustrations: 27 b/w illustrations, 28 illustrations in colour
Topics: Statistics and Computing/Statistics Programs, Statistics, general, Discrete Optimization
Industry Sectors: Biotechnology, Finance, Business & Banking, IT & Software