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E-raamat: Handbook of Scan Statistics

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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 29-Apr-2024
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461480334
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 29-Apr-2024
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461480334

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The “Handbook of Scan Statistics” in two volumes is intended for researchers in probability and statistics and scientists in several areas including biology, engineering, health, medical, and social sciences. It will be of great value to graduate students in statistics and in all areas where scan statistics are used.

The specialized field called 'scan statistics', fathered by Joseph Naus around 1999, burgeoned rapidly to prominence in the broader fields of applied probability and statistics. In additional to challenging theoretical problems, scan statistics has exciting applications in many areas of science and technology including archaeology, astronomy, physics, bioinformatics, and food sciences, just to name a few.

In many fields, decision makers give a great deal of weight to clusters of events. Public Health investigators look for common cause factors to explain clusters of, for example, cancer. Molecular biologists look for palindrome clusters in DNA for clues as to the origin of replication viruses. Telecommunication engineers design capacity to accommodate clusters of calls being dialed simultaneously to a switchboard. Quality control experts investigate clusters of defects. The probabilities of different types of clusters under various conditions are tools of the physical, natural, and social sciences. Scan statistics arise naturally in the scanning of time and space, seeking clusters of events. It is therefore no surprise that scan statistics is a major area of research in probability and statistics in the 21st century.



Handbook of Scan Statistics in two volumes is intended for researchers in probability and statistics and scientists in several areas, including biology, engineering, health, medical, and social sciences. It will also be of great value to graduate students.

Preface.- I. History and Early Developments.- II. Methods and Techniques in Research and Scan Statistics.- III. One Dimensional Scan Statistics.- IV. Two and Three Dimensional Scan Statistics.- V. Biological Sciences.- VI. Biosurveillance and Reconnaissance.- VII. Engineering and Physical Sciences.- VIII. Ecology and Environmental Sciences.- IX. Information Sciences.- X. Medical Sciences.- XI. Public Health.- XII. Reliability and Quality Control.- XIII. Social Sciences.- XIV. Veterinary and Animal Science.

Joseph Glaz is Professor, Department of Statistics, University of Connecticut, where he served as Department Head in 2011-2016. He received his Ph. D. in Statistics from Rutgers University in 1978. Areas of research interest include: geometrical probability, parametric bootstrap, scan statistics, sequential analysis and simultaneous inference. He was elected Ordinary Member of the International Statistical Institute in 1996, Fellow of American Statistical Association in 2000, Fellow of the Institute of Mathematical Statistics in 2009 and to Connecticut Academy of Arts and Sciences in 2011. He is a recipient of Abraham Wald Prize in Sequential Analysis in 2006 and the AAUP Excellence in Research Award in 2008. He is a founding Editor, and serving since 1998 as Editor in chief, of a scientific journal Methodology and Computing in Applied Probability, published currently by Springer Nature.







Markos V. Koutras is Professor in the Department of Statistics and Insurance Science, University of Piraeus, Greece. He served as Department Head, Dean and MSc director (MSc program in Biostatistics and MSc program in Applied Statistics) for several years as well as Vice Rector for the University of Piraeus in 2017-2022.









He received his B.S. in Mathematics (1979) and holds an MSc in Computer Science and Operations Research (1981) and a PhD in Statistics (1983). His research interests include, among others, theory of run and scan statistics, statistical process control, reliability theory and multivariate statistical analysis. He has more than 100 publications in referred Journals and 20 publications in referred special volumes (by invitation). He serves as Associate Editor in 8 international journals, he has been guest Editor in 6 special issues for international journals and he was recently appointed co-Editor in Chief in Methodology and Computing in Applied Probability, published by Springer Nature. He has authored/co-authored15 books in Greek and 6 in English.