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Quality control with R: an ISO standards approach

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 reachi...

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Detalles Bibliográficos
Autores principales: Cano, Emilio L, M Moguerza, Javier, Prieto Corcoba, Mariano
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-24046-6
http://cds.cern.ch/record/2112871
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author Cano, Emilio L
M Moguerza, Javier
Prieto Corcoba, Mariano
author_facet Cano, Emilio L
M Moguerza, Javier
Prieto Corcoba, Mariano
author_sort Cano, Emilio L
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
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spelling cern-21128712021-04-21T20:00:46Zdoi:10.1007/978-3-319-24046-6http://cds.cern.ch/record/2112871engCano, Emilio LM Moguerza, JavierPrieto Corcoba, MarianoQuality control with R: an ISO standards approachMathematical Physics and MathematicsPresenting 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.Springeroai:cds.cern.ch:21128712015
spellingShingle Mathematical Physics and Mathematics
Cano, Emilio L
M Moguerza, Javier
Prieto Corcoba, Mariano
Quality control with R: an ISO standards approach
title Quality control with R: an ISO standards approach
title_full Quality control with R: an ISO standards approach
title_fullStr Quality control with R: an ISO standards approach
title_full_unstemmed Quality control with R: an ISO standards approach
title_short Quality control with R: an ISO standards approach
title_sort quality control with r: an iso standards approach
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-24046-6
http://cds.cern.ch/record/2112871
work_keys_str_mv AT canoemiliol qualitycontrolwithranisostandardsapproach
AT mmoguerzajavier qualitycontrolwithranisostandardsapproach
AT prietocorcobamariano qualitycontrolwithranisostandardsapproach