Overview
- Demonstrates the power and extensibility of R in sophisticated quality control applications
- Develops the fundamental concepts of the R programming language in an accessible, self-contained way, with numerous examples illustrating the connections to best practices in quality control
- Written for a general audience, with a special aim towards quality control practitioners without a previous background in the R programming language
- Contains several helpful indices that serve as quick references for ISO standards as well as R packages and functions discussed in the book
Part of the book series: Use R! (USE R)
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Table of contents (10 chapters)
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Statistics for Quality Control
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Delimiting and Assessing Quality
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Control Charts
Keywords
About this book
Reviews
Authors and Affiliations
About the authors
Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos. He publishes mainly in the fields of Mathematical Programming and Machine Learning. Currently, he is leading national and international research ICT projects funded by public and private organizations. He belongs to the Global Young Academy, and has been a member since 2010.
Mariano Prieto Corcoba is Continuous Improvement Manager at ENUSA Industrias Avanzadas. He has 30 years of experience in the fields of nuclear engineering and quality. He collaborates with the Spanish Association for Quality as a trainer in Six Sigma Methodology. Currently he is President of the Subcommittee of Statistical Methods of AENOR, the Spanish Association for Standardization and Certification.
Bibliographic Information
Book Title: Quality Control with R
Book Subtitle: An ISO Standards Approach
Authors: Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-319-24046-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-24044-2Published: 28 November 2015
eBook ISBN: 978-3-319-24046-6Published: 20 November 2015
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XXVIII, 349
Number of Illustrations: 62 b/w illustrations, 64 illustrations in colour
Topics: Operations Research, Management Science, Calculus of Variations and Optimal Control; Optimization, Mathematical Modeling and Industrial Mathematics