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Titlebook: Handbook of Scan Statistics; Joseph Glaz,Markos V. Koutras Living reference work 20200th edition

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发表于 2025-3-21 17:21:48 | 显示全部楼层 |阅读模式
书目名称Handbook of Scan Statistics
编辑Joseph Glaz,Markos V. Koutras
视频video
概述Reference for grad students in applied probability and scientists in applied areas where scan statistics is used.Theoretical and methodological advances in the area of scan statistics and its applicat
图书封面Titlebook: Handbook of Scan Statistics;  Joseph Glaz,Markos V. Koutras Living reference work 20200th edition
描述.Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science...                This volume of the .Handbook of Scan Statistics. is a collection of forty chapters, authored by leading experts in the field, outlines the research and the 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
出版日期Living reference work 20200th edition
doihttps://doi.org/10.1007/978-1-4614-8414-1
isbn_ebook978-1-4614-8414-1
The information of publication is updating

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Martingale Methods,ibutions of waiting times for the occurrence of simple or compound patterns in an independent or a Markov sequence. We also survey how such methods can be used to provide moments and distribution approximations for a variety of scan statistics, including variable length scan statistics. Each of the
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Scan Statistics for Integer-Valued Random Variables: Conditional Case,ically distributed nonnegative integer-valued random variables, modeled by a one-parameter natural exponential family of distributions, when the total sum of the random variables is known. The distribution of conditional scan statistics is based on the joint distribution of moving sums of components
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Discrete Scan Statistics for Higher-Order Markovian Sequences,, as results for higher-order Markovian sequences are scarce. Results from three papers on exact computation of probabilities in Markovian sequences are given, two of which are for binary Markov chains, the third allowing multistate higher-order Markovian trials. Whereas exact computation of the com
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Spatial Cluster Estimation and Visualization using Item Response Theory,n may not be appropriate to detect the true cluster. To work around this problem we usually use complex tools that allow the detection of clusters with arbitrary format, but at the expense of an increase in computational effort. In this chapter we describe a methodology that assists the detection of
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