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Quality control with R = an ISO stan...
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Corcoba, Mariano Prieto.
Quality control with R = an ISO standards approach /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Quality control with R/ by Emilio L. Cano, Javier M. Moguerza, Mariano Prieto Corcoba.
Reminder of title:
an ISO standards approach /
Author:
Cano, Emilio L.
other author:
Corcoba, Mariano Prieto.
Published:
Cham :Imprint: Springer, : 2015.,
Description:
xxviii, 349 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Mathematical Modeling and Industrial Mathematics. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-24046-6
ISBN:
9783319240466
Quality control with R = an ISO standards approach /
Cano, Emilio L.
Quality control with R
an ISO standards approach /[electronic resource] :by Emilio L. Cano, Javier M. Moguerza, Mariano Prieto Corcoba. - Cham :Imprint: Springer,2015. - xxviii, 349 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!.
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.
ISBN: 9783319240466
Standard No.: 10.1007/978-3-319-24046-6doiSubjects--Topical Terms:
669172
Mathematical Modeling and Industrial Mathematics.
LC Class. No.: QA76.73.R3
Dewey Class. No.: 519.502855133
Quality control with R = an ISO standards approach /
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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.
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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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Mathematics and Statistics (Springer-11649)
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