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＜電子ブック＞
Scan Statistics / by Joseph Glaz, Joseph Naus, Sylvan Wallenstein
(Springer Series in Statistics. ISSN:2197568X)

版	1st ed. 2001.
出版者	New York, NY : Springer New York : Imprint: Springer
出版年	2001
本文言語	英語
大きさ	XVI, 372 p : online resource
著者標目	*Glaz, Joseph author Naus, Joseph author Wallenstein, Sylvan author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Biometry FREE:Statistical Theory and Methods FREE:Biostatistics FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
一般注記	I Methods and Applications -- 1 Introduction -- 2 Retrospective Scanning of Events Over Time -- 3 Prospective Scanning of Events Over Time -- 4 Success Scans in a Sequence of Trials -- 5 Higher-Dimensional Scans -- 6 Scan Statistics in DNA and Protein Sequence Analysis -- II Scan Distribution Theory and its Developments -- 7 Approaches Used for Derivations and Approximations -- 8 Scanning N Uniform Distributed Points: Exact Results -- 9 Scanning N Uniform Distributed Points: Bounds -- 10 Approximations for the Conditional Case -- 11 Scanning Points in a Poisson Process -- 12 The Generalized Birthday Problem -- 13 Scan Statistics for a Sequence of Discrete I.I.D. Variates -- 14 Power -- 15 Testing for Clustering -- 16 Two-Dimensional Scan Statistics -- 17 Number of Clusters: Ordered Spacings -- 18 Extensions of the Scan Statistic -- References In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Applications of scan statistics have been recorded in many areas of science and technology including: geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics HTTP:URL=https://doi.org/10.1007/978-1-4757-3460-7

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