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Quality Control with R electronic resource An ISO Standards Approach / by Emilio L. Cano, Javier M. Moguerza, Mariano Prieto Corcoba.

By: Cano, Emilio L [author.]Contributor(s): M. Moguerza, Javier [author.] | Prieto Corcoba, Mariano [author.] | SpringerLink (Online service)Material type: TextTextSeries: Use R!Publication details: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XXVIII, 349 p. 126 illus., 64 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319240466Subject(s): mathematics | Mathematical models | Calculus of variations | Operations research | Management science | Mathematics | Operations Research, Management Science | Calculus of Variations and Optimal Control; Optimization | Mathematical Modeling and Industrial MathematicsDDC classification: 519.6 LOC classification: QA402-402.37T57.6-57.97Online resources: Click here to access online
Contents:
An Intuitive Introduction to Quality Control with R -- An Introduction to R for Quality Control -- The Seven Quality Control Tools in a Nutshell: R and ISO Approaches -- R and ISO Standards for Quality Control -- Modeling Quality with R -- Data Sampling for Quality Control with R -- Acceptance Sampling with R -- Quality Specifications and Process Capability Analysis with R -- Control Charts with R -- Nonlinear Profiles with R. .
In: Springer eBooksSummary: 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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An Intuitive Introduction to Quality Control with R -- An Introduction to R for Quality Control -- The Seven Quality Control Tools in a Nutshell: R and ISO Approaches -- R and ISO Standards for Quality Control -- Modeling Quality with R -- Data Sampling for Quality Control with R -- Acceptance Sampling with R -- Quality Specifications and Process Capability Analysis with R -- Control Charts with R -- Nonlinear Profiles with R. .

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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