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Quality Control with R: An ISO Standards Approach
Emilio L. Cano
€ 113.06
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Description for Quality Control with R: An ISO Standards Approach
Paperback. Series: Use R!. Num Pages: 380 pages, 52 black & white illustrations, 51 colour illustrations, 8 black & white tables, 46 colou. BIC Classification: KJMV5; UMX; UYM. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG Switzerland
Number of pages
380
Format
Paperback
Publication date
2015
Series
Use R!
Condition
New
Number of Pages
349
Place of Publication
Cham, Switzerland
ISBN
9783319240442
SKU
V9783319240442
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Emilio L. Cano
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 ... Read more
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