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Scan Statistics

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Cover of 'Scan Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Joseph Naus: Father of the Scan Statistic
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    Chapter 2 Precedence-Type Tests for the Comparison of Treatments with a Control
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    Chapter 3 Extreme Value Results for Scan Statistics
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    Chapter 4 Boundary Crossing Probability Computationsin the Analysis of Scan Statistics
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    Chapter 5 Approximations for Two-Dimensional Variable Window Scan Statistics
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    Chapter 6 Applications of Spatial Scan Statistics: A Review
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    Chapter 7 Extensions of the Scan Statistic for the Detection and Inference of SpatialClusters
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    Chapter 8 1-Dependent Stationary Sequences and Applications to Scan Statistics
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    Chapter 9 Scan Statistics in Genome-Wide Scan for Complex Trait Loci
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    Chapter 10 On Probabilities for Complex Switching Rules in Sampling Inspection
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    Chapter 11 Bayesian Network Scan Statistics for Multivariate Pattern Detection
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    Chapter 12 ULS Scan Statistic for Hotspot Detection with Continuous Gamma Response
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    Chapter 13 False Discovery Control for Scan Clustering
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    Chapter 14 Martingale Methods for Patterns and Scan Statistics
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    Chapter 15 How Can Pattern Statistics Be Useful for DNA Motif Discovery?
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    Chapter 16 Occurrence of Patterns and Motifs in Random Strings
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    Chapter 17 Detection of Disease Clustering
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Scan Statistics
Published by
Birkhäuser Boston, December 2009
DOI 10.1007/978-0-8176-4749-0
978-0-8176-4748-3, 978-0-8176-4749-0

Glaz, Joseph, Pozdnyakov, Vladimir, Wallenstein, Sylvan

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Iran, Islamic Republic of 1 4%
Germany 1 4%
Unknown 23 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 41%
Researcher 6 22%
Student > Master 5 19%
Professor > Associate Professor 2 7%
Other 1 4%
Other 2 7%
Readers by discipline Count As %
Engineering 6 22%
Computer Science 5 19%
Agricultural and Biological Sciences 5 19%
Mathematics 4 15%
Earth and Planetary Sciences 2 7%
Other 4 15%
Unknown 1 4%