Handbook of Scan Statistics
Edited by Joseph Glaz () and
Markos V. Koutras ()
in Springer Books from Springer
Date: 2024
ISBN: 978-1-4614-8033-4
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Chapters in this book:
- Ch 1 Research on Probability Models for Cluster of Points Before the Year 1960
- Joseph Naus
- Ch 2 Adaptive Likelihood Ratio Scans for the Detection of Space-Time Clusters
- Max S. de Lima and Luiz H. Duczmal
- Ch 3 Adjusted Inference for the Spatial Scan Statistic
- Alexandre C. L. Almeida, Anderson R. Duarte, Luiz H. Duczmal, Fernando L. P. Oliveira, Ricardo H. C. Takahashi and Ivair R. Silva
- Ch 4 Approximating the Distribution of the Multiple Scan Statistic
- Markos V. Koutras and F. S. Milienos
- Ch 5 Approximations for Discrete Scan Statistics on i.i.d and Markov-Dependent Bernoulli Trials
- Brad C. Johnson
- Ch 6 Bayesian Scan Statistics
- Daniel B. Neill
- Ch 7 Calibrating the Scan Statistic with Size-Dependent Critical Values
- Guenther Walther
- Ch 8 Demimartingale Approaches for ScanStatistics
- Markos V. Koutras and Demetrios P. Lyberopoulos
- Ch 9 Designing Distributed Sensor Detection Systems Using the Scan Statistic
- Benedito J. B. Fonseca
- Ch 10 Discrete Scan Statistics for Higher-Order Markovian Sequences
- Donald E. K. Martin
- Ch 11 Discrete Scan Statistics Generated by Dependent Trials and Their Applications in Reliability
- Serkan Eryilmaz and Femin Yalcin
- Ch 12 Generating Function Methods for Run and Scan Statistics
- Yong Kong
- Ch 13 Health Monitoring Techniques Using Scan Statistics
- Sotiris Bersimis, Athanasios Sachlas and Markos V. Koutras
- Ch 14 Martingale Methods
- Vladimir Pozdnyakov and J. Michael Steele
- Ch 15 Nearest Neighbors of Multivariate Runs
- Yong Kong
- Ch 16 New Frontiers for Scan Statistics: Network, Trajectory, and Text Data
- Renato M. Assunção, Roberto C. S. N. P. Souza and Marcos O. Prates
- Ch 17 On Scan Statistics Through the Finite Markov Chain Imbedding Approach
- W. Y. Wendy Lou and James C. Fu
- Ch 18 On the Exact Distributions of Pattern Statistics for a Sequence of Binary Trials: A Combinatorial Approach
- Frosso S. Makri and Zaharias M. Psillakis
- Ch 19 Poisson Approximations for the Number of kl-Scans
- Anant Godbole, Katherine Grzesik and Heather Shappell
- Ch 20 Run and Scan Rules in Statistical Process Monitoring
- Sotiris Bersimis, Markos V. Koutras and Athanasios C. Rakitzis
- Ch 21 Scan Statistics Applications in Genomics
- Ming-Ying Leung
- Ch 22 Scan Statistics for Detecting a Local Change in Mean for Normal Data
- Jie Chen and Joseph Glaz
- Ch 23 Scan Statistics for Detecting a Local Change in Model Parameters for Normal Data
- Jie Chen and Joseph Glaz
- Ch 24 Scan Statistics for Integer-Valued Random Variables: Conditional Case
- Jie Chen and Joseph Glaz
- Ch 25 Scan Statistics on Graphs and Networks
- Panpan Zhang and Joseph Glaz
- Ch 26 Scan Statistics Viewed as Maximum of 1-Dependent Random Variables
- George Haiman and Cristian Preda
- Ch 27 ScanZID: Spatial Scan Statistics with Zero Inflation and Dispersion
- Max S. de Lima, Luiz H. Duczmal, José C. Neto, Letícia P. Pinto, Márcio A. C. Ferreira and Vanessa A. de Lima
- Ch 28 Shocks, Scans, and Reliability Systems
- Serkan Eryilmaz
- Ch 29 Spacing Methods and Their Applications to Scan Statistics
- Chien-Tai Lin
- Ch 30 Spatial Cluster Detection Through a Dynamic Programming Approach
- Gladston J. P. Moreira, Luís Paquete, Luiz H. Duczmal, David Menotti and Ricardo H. C. Takahashi
- Ch 31 Spatial Cluster Estimation and Visualization Using Item Response Theory
- André L. F. Cançado, Antonio E. Gomes, Cibele Q. da-Silva, Fernando L. P. Oliveira and Luiz H. Duczmal
- Ch 32 Spatial Scan Statistics for Functional Data
- Mohamed-Salem Ahmed, Camille Frévent and Michaël Génin
- Ch 33 The Role of Scan Statistics in High-Energy Astrophysics
- Luigi Pacciani
- Ch 34 The Scan Statistic for Multidimensional Data and Social Media Applications
- Ross Sparks and Cecile Paris
- Ch 35 The Spatial Structure of Housing Prices in Madrid: Evidence from Spatio-temporal Scan Statistics
- Coro Chasco, Julie Le Gallo and Fernando A López
- Ch 36 Two-Dimensional Discrete Scan Statistics with Arbitrary Window Shape
- Alexandru Amărioarei, Michaël Génin and Cristian Preda
- Ch 37 Variable Window Scan Statistics for Poisson Processes
- Ryan Turner and Steven Bottone
- Ch 38 Variable Window Scan Statistics: Alternatives to Generalized Likelihood Ratio Tests
- Lionel Cucala
- Ch 39 Waiting for Scans Containing Two Successes
- Markos V. Koutras and Spiros D. Dafnis
- Ch 40 Wilcoxon Rank Sum Scan Statistics for Continuous Data with Outliers
- Qianzhu Wu and Joseph Glaz
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DOI: 10.1007/978-1-4614-8033-4
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