Scan Statistics
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.
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Scan Statistics
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.
109.99 In Stock
Scan Statistics

Scan Statistics

Scan Statistics

Scan Statistics

Hardcover(2001)

$109.99 
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Overview

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.

Product Details

ISBN-13: 9780387988191
Publisher: Springer New York
Publication date: 08/09/2001
Series: Springer Series in Statistics
Edition description: 2001
Pages: 372
Product dimensions: 6.14(w) x 9.21(h) x 0.04(d)

Table of Contents

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.
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