Quality Control with R

An ISO Standards Approach

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Science & Nature, Mathematics, Calculus
Cover of the book Quality Control with R by Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto, Springer International Publishing
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Author: Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto ISBN: 9783319240466
Publisher: Springer International Publishing Publication: November 20, 2015
Imprint: Springer Language: English
Author: Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto
ISBN: 9783319240466
Publisher: Springer International Publishing
Publication: November 20, 2015
Imprint: Springer
Language: English

Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.

                                                    

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.

                                                    

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