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ICSA Book Series in Statistics

Statistical Quality Technologies

Theory and Practice

Editors: Lio, Y., Ng, H.K.T., Tsai, T.-R., Chen, D.-G. (Eds.)

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  • Enriches understandings of the state-of-the-art statistical methodologies for quality control, acceptance sampling and reliability assessment
  • Provides the background mathematical and statistical models and methods using simple and comprehensible terms with illustrative examples
  • Features the latest development in statistical methods for quality technologies that aimed at bridging the theoretical methodology development with real world industrial applications
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-030-20709-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-030-20708-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

About the authors

Yuhlong Lio is a professor in the Department of Mathematical Science at the University of South Dakota. His research interest is in theoretical and methodology developments in mathematics and includes reliability inferences, kernel-smooth estimation, and mathematical modeling. Dr. Lio has been invited as a referee to review papers for more than 30 international and peer-review journals including Applied Mathematics and Computation, Applied Mathematical Modeling, Journal of Quality Technology and  IEEE Transactions on Reliability, among others. Dr. Lio currently serves on the advisory board for Journal of Statistics and Mathematics and as associate editor for Journal of Statistical Computation and Simulation and Electronic Journal of Applied Statistical Analysis. Dr. Lio received his BS in mathematics from Nation Cheng Kung University, Taiwan, his MS in mathematics from National Central University, Taiwan, and his PhD. in Statistics from University of South Carolina, USA.

Hon Keung Tony Ng is a professor of statistical science with the Southern Methodist University, Dallas, TX, USA. He is an associate editor of Communications in Statistics, Computational Statistics, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation, Naval Research Logistics, Sequential Analysis and Statistics and Probability Letters. His research interests include reliability, censoring methodology, ordered data analysis, nonparametric methods, and statistical inference. He has published more than 100 research papers in refereed journals. He is the co-author of the book Precedence-Type Tests and Applications (2006, with Balakrishnan) and co-editor of Ordered Data Analysis, Modeling and Health Research Methods (Springer 2015, ed. with Choudhary, Nagaraja). Professor Ng is a fellow of the American Statistical Association, an elected senior member of IEEE and an elected member of the International Statistical Institute.

Tzong-Ru Tsai is the dean of the College of Business and Management and a professor in the Department of Statistics at Tamkang University in New Taipei City, Taiwan. His main research interests include quality control and reliability analysis. He has served as a consultant with extensive expertise in statistical quality control, reliability assessment on highly reliable products, and design of experiments for many companies in the past years. He is an associate editor of the Journal of Statistical Computation and Simulation. Dr. Tsai has been invited as a referee to review papers for more than 20 peer-review journals, including IEEE Transactions on Reliability, Quality Engineering, and Quality and Reliability Engineering International.  He has published more than 70 research papers in refereed journals.

Ding-Geng (Din) Chen is the Wallace H. Kuralt Distinguished Professor and Director of the Consortium for Statistical Development and Consultation (CSDC) in the School of Social Work, and is jointly appointed as a clinical professor in the Department of Biostatistics at the UNC Gillings School of Global Health. He is an elected fellow of American Statistical Association. As a professor in biostatistics, he is interested in developing biostatistical methodologies in clinical trials, meta-analysis, Bayesian statistics and their applications to public health. As a professor in social work, he is interested in developing Bayesian social and health intervention research, cusp catastrophe modelling, statistical causal inferences, propensity score and structural-equation models (SEM). He is PI/Co-PI for several NIH R01 research projects in biostatistical methodology development and public health applications.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Some Recent Studies in Statistical Process Control

    Pages 3-19

    Qiu, Peihua

  • Statistical Quality Control and Reliability Analysis Using the Birnbaum-Saunders Distribution with Industrial Applications

    Pages 21-53

    Leiva, Víctor (et al.)

  • Statistical System Monitoring (SSM) for Enterprise-Level Quality Control

    Pages 55-78

    Koppel, Siim (et al.)

  • Enhanced Cumulative Sum Charts Based on Ranked Set Sampling

    Pages 79-108

    Abujiya, Mu’azu Ramat (et al.)

  • A Survey of Control Charts for Simple Linear Profile Processes with Autocorrelation

    Pages 109-126

    Chiang, Jyun-You (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-030-20709-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-030-20708-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Quality Technologies
Book Subtitle
Theory and Practice
Editors
  • Yuhlong Lio
  • Hon Keung Tony Ng
  • Tzong-Ru Tsai
  • Ding-Geng Chen
Series Title
ICSA Book Series in Statistics
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-20709-0
DOI
10.1007/978-3-030-20709-0
Hardcover ISBN
978-3-030-20708-3
Series ISSN
2199-0980
Edition Number
1
Number of Pages
XIX, 402
Number of Illustrations
25 b/w illustrations, 34 illustrations in colour
Topics