Authors:
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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Front Matter
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Statistics for Quality Control
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Front Matter
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Delimiting and Assessing Quality
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Front Matter
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Control Charts
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Front Matter
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Back Matter
About this book
Keywords
- ISO standards
- R software
- quality control
- quality control with R
- statistical data modeling
Authors and Affiliations
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Department of Statistics and Operations Campus de Fuenlabrada, Rey Juan Carlos University, Madrid, Spain
Emilio L. Cano, Javier Martinez Moguerza
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ENUSA Industrias Avanzadas, Madrid, Spain
Mariano Prieto
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