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Scan Statistics and Applications

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Cover of 'Scan Statistics and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Scan Statistics
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    Chapter 2 Approximations for the Distribution and the Moments of Discrete Scan Statistics
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    Chapter 3 Ratchet Scan and Disjoint Statistics
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    Chapter 4 Scanning Multiple Sequences
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    Chapter 5 Approximations of the Distributions of Scan Statistics of Poisson Processes
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    Chapter 6 An Approach to Computations Involving Spacings With Applications to the Scan Statistic
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    Chapter 7 Using Moments to Approximate the Distribution of the Scan Statistic
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    Chapter 8 Applying Ballot Problem Results to Compute Probabilities Required for a Generalization of the Scan Statistic
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    Chapter 9 Scan Statistic and Multiple Scan Statistic
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    Chapter 10 On Poisson Approximation for Continuous Multiple Scan Statistics in Two Dimensions
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    Chapter 11 A Start-Up Demonstration Test Using a Simple Scan-Based Statistic
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    Chapter 12 Applications of the Scan Statistic in DNA Sequence Analysis
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    Chapter 13 On the Probability of Pattern Matching in Nonaligned DNA Sequences: A Finite Markov Chain Imbedding Approach
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    Chapter 14 Spatial Scan Statistics: Models, Calculations, and Applications
Attention for Chapter 13: On the Probability of Pattern Matching in Nonaligned DNA Sequences: A Finite Markov Chain Imbedding Approach
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Chapter title
On the Probability of Pattern Matching in Nonaligned DNA Sequences: A Finite Markov Chain Imbedding Approach
Chapter number 13
Book title
Scan Statistics and Applications
Published by
Birkhäuser, Boston, MA, January 1999
DOI 10.1007/978-1-4612-1578-3_13
Book ISBNs
978-1-4612-7201-4, 978-1-4612-1578-3
Authors

James C. Fu, W. Y. Wendy Lou, S. C. Chen

View on publisher site

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