Handbook of Scan Statistics

  • Joseph Glaz
  • Markos V. Koutras
Living reference work

Table of contents

  1. Vladimir Pozdnyakov, J. Michael Steele
  2. André L. F. Cançado, Antonio E. Gomes, Cibele Q. da-Silva, Fernando L. P. Oliveira, Luiz H. Duczmal
  3. Alexandre C. L. Almeida, Anderson R. Duarte, Luiz H. Duczmal, Fernando L. P. Oliveira, Ricardo H. C. Takahashi, Ivair R. Silva
  4. Gladston J. P. Moreira, Luís Paquete, Luiz H. Duczmal, David Menotti, Ricardo H. C. Takahashi
  5. Max S. de Lima, Luiz H. Duczmal, José C. Neto, Letícia P. Pinto, Márcio A. C. Ferreira, Vanessa A. de Lima
  6. Panpan Zhang, Joseph Glaz
  7. Anant Godbole, Katherine Grzesik, Heather Shappell

About this book

Introduction

The specialized field of scan statistics, fathered by Joseph Naus around 1999, burgeoned rapidly to prominence in the field of applied probability and statistics. In additional to challenging theoretical probelms, scan statistics has exciting applications in many areas of science and technologyu including archaelogy, 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. In the last 5 years about 1600 hits appear on Google Scholar referencing the extensive activity in scan statistics and the breadth of the application. (Since 2010, about 482 hits are recorded in Google scholar.)

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.

Editors and affiliations

  • Joseph Glaz
    • 1
  • Markos V. Koutras
    • 2
  1. 1.University of Connecticut Dept. StatisticsStorrsUSA
  2. 2.University of Pireaus Dept. Statistics & Insurance SciencesPiraeusGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-8414-1
  • Copyright Information Springer Science+Business Media LLC 2017
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Online ISBN 978-1-4614-8414-1
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