Frontiers in Statistical Quality Control 12 / Frontiers in Statistical Quality Control (PDF)
The book is divided into three parts: Part I covers...
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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.
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.
- 2018, 1st ed. 2018, 366 Seiten, Englisch
- Herausgegeben: Sven Knoth, Wolfgang Schmid
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319752952
- ISBN-13: 9783319752952
- Erscheinungsdatum: 15.06.2018
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- Grösse: 9.89 MB
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