This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. It is divided into two parts, the first addressing statistical process monitoring and the second exploring selected topics in statistical quality control, including the design of experiments and data quality.

Compiling peer-reviewed contributions originally presented at the 14th International Workshop on Intelligent Statistical Quality Control, ISQC 2023, held in Washington, DC, USA, on August 15-17, 2023, the book bridges the gap between theory and practice, making it of interest to both researchers and practitioners in the field of statistical quality control.

About the Author

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 80 research papers and he is an Associate Editor of the journals Quality Engineering, Computational Statistics, Quality Reliability Engineering and Journal of Quality Technology.

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 and 2020 he was the President of the German Statistical Society.

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