Editors:
- Describes new developments in the area of statistical quality control
- Presents a variety of applications of experimental design
- Discusses methods used in on-line and off-line statistical quality control
- Provides selected and reviewed contributions from the 12th International Workshop on Intelligent Statistical Quality Control
Part of the book series: Frontiers in Statistical Quality Control (FSQC)
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Table of contents (20 papers)
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Front Matter
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Statistical Process Control
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Front Matter
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Related Areas
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Front Matter
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About this book
This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control.
The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality.
The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 – 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference’s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.
Editors and Affiliations
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Department of Mathematics and Statistics, Helmut Schmidt University, Hamburg, Germany
Sven Knoth
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Department of Statistics, European University Viadrina, Frankfurt (Oder), Germany
Wolfgang Schmid
About the editors
Sven Knoth studied Mathematics at the Technical Universities of Chemnitz and Novosibirsk, Russia. At the TU Chemnitz he received his diploma in 1990 and his doctorate in 1995 with a thesis on “Quasi-stationarity of CUSUM Schemes for Erlang Distributions”. After serving as a postdoc at the Department of Biostatistics, Heinrich Heine University in Düsseldorf until the end of 1996, he switched to the European University Viadrina in Frankfurt (Oder), where he completed his postdoctoral studies in 2003. From 2004 to 2009 he worked as Senior Process Engineer and SPC Coordinator at the Advanced Mask Technology Center (AMTC) in Dresden. In April 2009 he became a Professor of Computational Statistics at the Helmut Schmidt University, the University of the Federal Armed Forces in Hamburg. Sven Knoth is the author of 40 research papers on statistics. His main research areas are SPC, implementing statistical algorithms in software, and applying statistics in the engineering world. He is currently associate editor of the journal Computational Statistics.
Wolfgang Schmid studied Mathematics at the University of Ulm, Germany. He received his diploma in 1982 and his doctorate in 1984 with a thesis on “Localisation of outliers in autoregressive processes”. In 1991 he completed his postdoctoral studies with a thesis on “Outlier Tests and Outlier Identification in Time Series”. After research stays in Ulm, Trier and Stuttgart, he became a full professor of Statistics at the European University Viadrina in Frankfurt (Oder) in 1995. Wolfgang Schmid is the author of over 130 research papers on statistics. His main research areas include statistical process control, statistics in finance, and environmetrics. He is currently associate editor of Sequential Analysis and of AStA-Advances in Statistical Analysis and since 2012 President of the German Statistical Society.
Bibliographic Information
Book Title: Frontiers in Statistical Quality Control 12
Editors: Sven Knoth, Wolfgang Schmid
Series Title: Frontiers in Statistical Quality Control
DOI: https://doi.org/10.1007/978-3-319-75295-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-75294-5Published: 16 June 2018
Softcover ISBN: 978-3-030-09194-1Published: 19 December 2018
eBook ISBN: 978-3-319-75295-2Published: 15 June 2018
Series ISSN: 2698-2706
Series E-ISSN: 2698-2714
Edition Number: 1
Number of Pages: XVII, 366
Number of Illustrations: 59 b/w illustrations, 26 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Quality Control, Reliability, Safety and Risk, Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Business, Management, Economics, Finance, Insurance