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Quality Control with R: An ISO Standards Approach de Emilio L. Cano

Quality Control with R: An ISO Standards Approach: Use R!

Autor Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto
en Limba Engleză Paperback – 28 noi 2015
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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Specificații

ISBN-13: 9783319240442
ISBN-10: 3319240447
Pagini: 351
Ilustrații: XXVIII, 349 p. 126 illus., 64 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 5.74 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Use R!

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.
                                                                            
                                                                                 








Recenzii

                                                                   

Notă biografică

Emilio L. Cano is Adjunct Lecturer at the University of Castilla-La Mancha and Research Assistant Professor at Rey Juan Carlos University. He also collaborates with the Spanish Association for Quality as trainer for in-company courses. He has more than 14 years of experience in the private sector as statistician.

Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos. He publishes mainly in the fields of Mathematical Programming and Machine Learning. Currently, he is leading national and international research ICT projects funded by public and private organizations. He belongs to the Global Young Academy, and has been a member since 2010.

Mariano Prieto Corcoba is Continuous Improvement Manager at ENUSA Industrias Avanzadas. He has 30 years of experience in the fields of nuclear engineering and quality. He collaborates with the Spanish Association for Quality as a trainer in Six Sigma Methodology. Currently he is President of the Subcommittee of Statistical Methods of AENOR, the Spanish Association for Standardization and Certification.
                                          






Textul de pe ultima copertă

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.
                                                                                     












Caracteristici

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