Overview
- 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
Part of the book series: ICSA Book Series in Statistics (ICSABSS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (16 chapters)
-
Statistical Process Control
-
Acceptance Sampling Plans
-
Reliability Testing and Designs
Keywords
- Industrial Statistics
- Statistical Process Control
- Statistical System Monitoring (SSM)
- Acceptance Sampling Plans
- Economical Sampling Plans
- Degradation Data Analysis
- Average Run Length
- Cumulative Sum Chart
- Exponentially Weighted Moving Average Control Chart
- Nonparametric Control Chart
- Process Capability Indices
- Multiple Deferred State Sampling Plan
- Bayesian Sampling Plan
- Reliability Testing
- Sequential Design
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.
Editors and Affiliations
About the editors
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.
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
DOI: https://doi.org/10.1007/978-3-030-20709-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-20708-3Published: 22 August 2019
Softcover ISBN: 978-3-030-20711-3Published: 23 August 2020
eBook ISBN: 978-3-030-20709-0Published: 09 August 2019
Series ISSN: 2199-0980
Series E-ISSN: 2199-0999
Edition Number: 1
Number of Pages: XIX, 402
Number of Illustrations: 25 b/w illustrations, 34 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Business, Management, Economics, Finance, Insurance