Statistical Methods in Counterterrorism

Edited by Alyson G. Wilson (), Gregory D. Wilson () and David H. Olwell ()

in Springer Books from Springer

Date: 2006
ISBN: 978-0-387-35209-1
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Chapters in this book:

Game Theory in an Age of Terrorism: How Can Statisticians Contribute?

Ronald D. Fricker

Combining Game Theory and Risk Analysis in Counterterrorism: A Smallpox Example

David L. Banks and Steven Anderson

Game-Theoretic and Reliability Methods in Counterterrorism and Security

Vicki Bier

Biometric Authentication

David L. Banks

Towards Statistically Rigorous Biometric Authentication Using Facial Images

Sinjini Mitra

Recognition Problem of Biometrics: Nonparametric Dependence Measures and Aggregated Algorithms

Andrew L. Rukhin

Data Analysis Research Issues and Emerging Public Health Biosurveillance Directions

Henry Rolka

Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance

Galit Shmueli and Stephen E. Fienberg

Evaluating Statistical Methods for Syndromic Surveillance

Michael A. Stoto, Ronald D. Fricker, Arvind Jain, Alexis Diamond, John O. Davies-Cole, Chevelle Glymph, Gebreyesus Kidane, Garrett Lum, LaVerne Jones, Kerda Dehan and Christine Yuan

A Spatiotemporal Analysis of Syndromic Data for Biosurveillance

Laura Forsberg, Caroline Jeffery, Al Ozonoff and Marcello Pagano

Modeling and Simulation for Defense and National Security

Wendy L. Martinez

Modeling and Parameterization for a Smallpox Simulation Study

Sarah Michalak and Gregory Wilson

Approaches to Modeling the Concentration Field for Adaptive Sampling of Contaminants during Site Decontamination

William K. Sieber, James S. Bennett, Abera Wouhib, Joe Fred Gonzalez, Myron J. Katzoff and Stanley A. Shulman

Secure Statistical Analysis of Distributed Databases

Alan F. Karr, Xiaodong Lin, Ashish P. Sanil and Jerome P. Reiter

Statistical Evaluation of the Impact of Background Suppression on the Sensitivity of Passive Radiation Detectors

Tom Burr, James Gattiker, Mark Mullen and George Tompkins

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DOI: 10.1007/0-387-35209-0

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