Description

Book Synopsis
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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Quality Control with R: An ISO Standards Approach

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£52.49

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Order before 4pm tomorrow for delivery by Sat 20 Dec 2025.

A Paperback by Emilio L. Cano, Javier Martinez Moguerza, Mariano Prieto

15 in stock


    View other formats and editions of Quality Control with R: An ISO Standards Approach by Emilio L. Cano

    Publisher: Springer International Publishing AG
    Publication Date: 28/11/2015
    ISBN13: 9783319240442, 978-3319240442
    ISBN10: 3319240447
    Also in:
    Operational research Mathematical modelling Optimization

    Description

    Book Synopsis
    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.















    Trade Review


    Table of Contents













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