From the reviews:
“The area of scan statistics has developed rapidly in recent years. … provided excellent overviews of the area. … There are many papers of interest here for the readers of Technometrics. … This reviewer enjoyed thumbing through the pages of this volume and feels that the editors hope that it will serve as a valuable reference and source for researchers in applied probability and statistics and in many other areas of science and technology is well justified.” (H. N. Nagaraja, Technometrics, Vol. 53 (1), February, 2011)Scan Statistics
Methods and Applications
herausgegeben von Joseph Glaz, Vladimir Pozdnyakov und Sylvan WallensteinScan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology.
Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics. The chapters are written by leading experts in the field of scan statistics. Key features include many current results and new directions for future research; challenging theoretical methodological research problems; presentation accessible to both statisticians and scientists from other disciplines where scan statistics are employed; emphasis on real-world applications to areas such as bioinformatics and biosurveillance; and extensive references to research articles, books, and relevant computer software.
Scan Statistics is an excellent reference for graduate students and researchers in applied probability and statistics, as well as for scientists in biology, computer science, pharmaceutical science, medicine, geography, quality control, communications, and epidemiology. The work may also be used as a textbook for a graduate-level seminar on scan statistics.
