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Scan Statistics

Joseph Glaz, Joseph Naus, Sylvan Wallenstein (Autoren)

Buch | Hardcover

372 Seiten

2001
Springer-Verlag New York Inc.
978-0-387-98819-1 (ISBN)

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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.

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.

Erscheint lt. Verlag	9.8.2001
Reihe/Serie	Springer Series in Statistics
Zusatzinfo	XVI, 372 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
ISBN-10	0-387-98819-X / 038798819X
ISBN-13	978-0-387-98819-1 / 9780387988191
Zustand	Neuware