Handbook of Scan Statistics
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Beschreibung
Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science.
This volume of the Handbook of Scan Statistics is a collection of forty chapters, authored by leading experts in the field, outlines the research and the breadth of applications of scan statistics to the numerous areas of science and technology listed above. These chapters present an overview of the theory, methods and computational techniques, related to research in the area of scan statistics and outline future developments. It contains extensive references to research articles, books and relevant computer software.
Handbook of Scan Statistics is an excellent reference for researchers and graduate students in applied probability and statistics, as well as for scientists in research areas where scan statistics are used. This volume may also be used as a textbook for a graduate level course on scan statistics.
First handbook devoted entirely to scan statistics
Readership and users apply to a vast audience in the scientific world
All contributors are experts in this burgeoning field of scan statistics
Reference for grad students in applied probability and scientists in applied areas where scan statistics is used Theoretical and methodological advances in the area of scan statistics and its applications 40 chapters in this volume are authored by leading experts in the field
Autor*in
Joseph Glaz
Themen in »Handbook of Scan Statistics«
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