1 option
Quality control with R : an ISO standards approach / by Emilio L. Cano, Javier M. Moguerza, Mariano Prieto Corcoba.
Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online
Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International- Format:
- Book
- Author/Creator:
- Cano, Emilio L., Author.
- Martinez Moguerza, Javier., Author.
- Prieto Corcoba, Mariano., Author.
- Series:
- Use R!, 2197-5736
- Language:
- English
- Subjects (All):
- Operations research.
- Management science.
- Calculus of variations.
- Mathematical models.
- R (Computer program language).
- Operations Research, Management Science.
- Calculus of Variations and Optimal Control; Optimization.
- Mathematical Modeling and Industrial Mathematics.
- Local Subjects:
- Operations Research, Management Science.
- Calculus of Variations and Optimal Control; Optimization.
- Mathematical Modeling and Industrial Mathematics.
- Physical Description:
- 1 online resource (373 p.)
- Edition:
- 1st ed. 2015.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- Language Note:
- English
- Summary:
- 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. .
- 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. .
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 3-319-24046-3
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