Quality Control with R  
Springer | Mathematics | November 22, 2015 | ISBN-10: 3319240447 | 349 pages | pdf | 16.05 mb
                                                

by Emilio L. Cano (Author), Javier M. Moguerza (Author), Mariano Prieto Corcoba (Author)
Demonstrates the power and extensibility of R in sophisticated quality control applications
Develops the fundamental concepts of the R programming language in an accessible, self-contained way, with numerous examples illustrating the connections to best practices in quality control
Written for a general audience, with a special aim towards quality control practitioners without a previous background in the R programming language
Contains several helpful indices that serve as quick references for ISO standards as well as R packages and functions discussed in the book

From the Back Cover
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.

Number of Illustrations and Tables
62 illus., 64 in colour
Topics
Operations Research, Mathematical Programming
Calculus of Variations and Optimal Control; Optimization
Mathematical Modeling and Industrial Mathematics