---

＜電子ブック＞
Quality Control with R : An ISO Standards Approach / by Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto
(Use R!. ISSN:21975744)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
本文言語	英語
大きさ	XXVIII, 349 p. 126 illus., 64 illus. in color : online resource
著者標目	*Cano, Emilio L author Martinez Moguerza, Javier author Prieto, Mariano author SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Management science LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Mathematical models FREE:Operations Research, Management Science FREE:Calculus of Variations and Optimization FREE:Mathematical Modeling and Industrial Mathematics
一般注記	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. HTTP:URL=https://doi.org/10.1007/978-3-319-24046-6

 類似資料