Editors:
- Presents the latest findings in the theory and practice of statistical quality control and process monitoring
- Adapts statistical quality control methods for use in big data, network analysis and medical applications
- Includes contributions on measurement uncertainty analysis and data quality
Part of the book series: Frontiers in Statistical Quality Control (FSQC)
Conference series link(s): ISQC: International Workshop on Intelligent Statistical Quality Control
Conference proceedings info: ISQC 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (22 papers)
-
Front Matter
-
Statistical Process Control
-
Front Matter
-
-
Selected Topics from Statistical Quality Control
-
Front Matter
-
About this book
This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality.
The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.Editors and Affiliations
-
Department of Mathematics and Statistics, Helmut Schmidt University, Hamburg, Germany
Sven Knoth
-
Department of Statistics, European University Viadrina, Frankfurt (Oder), Germany
Wolfgang Schmid
About the editors
Sven Knoth is a Professor of Computational Statistics at the Helmut Schmidt University, the University of the Federal Armed Forces, Hamburg, Germany. His main research areas include statistical process control, implementation of statistical algorithms in software, and applications of statistics in engineering. He has authored more than 60 research papers and he is an Associate Editor of the journals Computational Statistics and Quality Engineering.
Wolfgang Schmid is a Professor of Statistics at the European University Viadrina, Frankfurt (Oder), Germany. His main research areas include statistical process control, statistics in finance, spatial statistics, and environmetrics. He has authored more than 160 research papers and he is an Associate Editor of Sequential Analysis, AStA Advances in Statistical Analysis, and Journal of Multivariate Analysis. Between 2012-2020 he was the President of the German Statistical Society.
Bibliographic Information
Book Title: Frontiers in Statistical Quality Control 13
Editors: Sven Knoth, Wolfgang Schmid
Series Title: Frontiers in Statistical Quality Control
DOI: https://doi.org/10.1007/978-3-030-67856-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-67855-5Published: 16 May 2021
Softcover ISBN: 978-3-030-67858-6Published: 17 May 2022
eBook ISBN: 978-3-030-67856-2Published: 15 May 2021
Series ISSN: 2698-2706
Series E-ISSN: 2698-2714
Edition Number: 1
Number of Pages: XVI, 406
Number of Illustrations: 46 b/w illustrations, 86 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Quality Control, Reliability, Safety and Risk, Data Mining and Knowledge Discovery, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Statistics and Computing/Statistics Programs