Titlebook: Handbook of Scan Statistics; Joseph Glaz,Markos V. Koutras Reference work 2024 Springer Science+Business Media, LLC, part of Springer Natu

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Judicious

Generating Function Methods for Run and Scan Statistics,orms combine the results from the first step into a whole multi-object system with potential nearest neighbor interactions. By considering only one kind of object each time in the first step, the complexity arising from the simultaneous interactions of elements from multiple objects is avoided. In e

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Poisson Approximations for the Number of ,-Scans,niform case, is approximated by a Poisson random variable if .?=?.(.). In the nonuniform but i.i.d. case, the distribution is also approximately Poisson. There is a relation of this problem to two-dimensional scan statistics, where one is counting numbers of events that are close in time and space.

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Reference work 2024he breadthof 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 extensiv

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Comprise

Health Monitoring Techniques Using Scan Statistics,n the last two decades several researchers have proposed techniques or systems for the surveillance of public health or other healthcare processes. In this paper, we shall present a systematic review of health monitoring techniques which exploit scan statistics in order to set up early warning systems detecting potential threats for public health.