Statistical Quality Technologies Theory and Practice
This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technolog
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Yuhlong Lio Hon Keung Tony Ng Tzong-Ru Tsai Ding-Geng Chen Editors
Statistical Quality Technologies Theory and Practice
ICSA Book Series in Statistics Series editors Jiahua Chen, Department of Statistics, University of British Columbia, Vancouver, Canada Ding-Geng (Din) Chen, University of North Carolina, Chapel Hill, NC, USA
The ICSA Book Series in Statistics showcases research from the International Chinese Statistical Association that has an international reach. It publishes books in statistical theory, applications, and statistical education. All books are associated with the ICSA or are authored by invited contributors. Books may be monographs, edited volumes, textbooks and proceedings.
More information about this series at http://www.springer.com/series/13402
Yuhlong Lio • Hon Keung Tony Ng • Tzong-Ru Tsai Ding-Geng Chen Editors
Statistical Quality Technologies Theory and Practice
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Editors Yuhlong Lio Department of Mathematical Sciences University of South Dakota Vermillion, SD, USA
Hon Keung Tony Ng Department of Statistical Science Southern Methodist University Dallas, TX, USA
Tzong-Ru Tsai Department of Statistics Tamkang University New Taipei, Taiwan
Ding-Geng Chen Department of Statistics University of Pretoria Pretoria, South Africa
ISSN 2199-0980 ISSN 2199-0999 (electronic) ICSA Book Series in Statistics ISBN 978-3-030-20708-3 ISBN 978-3-030-20709-0 (eBook) https://doi.org/10.1007/978-3-030-20709-0 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Statistical methodologies for product quality control, acceptance sampling plans, and product reliability are essential technologies that ensure product quality to reduce
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