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Handbook of Scan Statistics

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Cover of 'Handbook of Scan Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Research on Probability Models for Cluster of Points Before the Year 1960
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    Chapter 10 Martingale Methods
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    Chapter 16 Approximations for Discrete Scan Statistics on i.i.d and Markov Dependent Bernoulli Trials
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    Chapter 22 Scan Statistics for Integer-Valued Random Variables: Conditional Case
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    Chapter 25 Variable Window Scan Statistics for Poisson Processes
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    Chapter 36 Variable Window Scan Statistics: Alternatives to Generalized Likelihood Ratio Tests
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    Chapter 37 Adaptive Likelihood Ratio Scans for the Detection of Space-Time Clusters
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    Chapter 38 Spatial Cluster Estimation and Visualization using Item Response Theory
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    Chapter 39 Adjusted Inference for the Spatial Scan Statistic
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    Chapter 40 Spatial Cluster Detection Through a Dynamic Programming Approach
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    Chapter 41 ScanZID: Spatial Scan Statistics with Zero Inflation and Dispersion
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    Chapter 42 Scan Statistics Applications in Genomics
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    Chapter 43 Scan Statistics on Graphs and Networks
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    Chapter 44 Spacing Methods and Their Applications to Scan Statistics
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    Chapter 45 Poisson Approximations for the Number of kl -Scans
Attention for Chapter 37: Adaptive Likelihood Ratio Scans for the Detection of Space-Time Clusters
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Chapter title
Adaptive Likelihood Ratio Scans for the Detection of Space-Time Clusters
Chapter number 37
Book title
Handbook of Scan Statistics
Published by
Springer, New York, NY, January 2017
DOI 10.1007/978-1-4614-8414-1_37-1
Book ISBNs
978-1-4614-8414-1
Authors

Max S. deLima, Lui H. Duczmal, deLima, Max S., Duczmal, Lui H.

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