Spacing Methods and Their Applications to Scan Statistics

doi:10.1007/9781461484141_441

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题名:	Spacing Methods and Their Applications to Scan Statistics
作者:	Chien-Tai Lin
日期:	2017-03-14
上传时间:	2017-11-21 02:11:09 (UTC+8)
出版者:	Springer-Verlag New York
摘要:	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.
關聯:	Handbook of Scan Statistics
DOI:	10.1007/9781461484141_441
显示于类别:	[應用數學與數據科學學系] 專書之單篇

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