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Statistical Methods in Counterterrorism

Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication

  • Book
  • © 2006

Overview

Editors:
  1. Alyson G. Wilson

    1. Los Alamos National Laboratory, Los Alamos, USA

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  2. Gregory D. Wilson

    1. Los Alamos National Laboratory, Los Alamos, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. David H. Olwell

    1. Department of Systems Engineering, Naval Postgraduate School, Monterey, USA

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  • The very first book to address statistical methods as they apply to counterterrorism efforts
  • Includes supplementary material: sn.pub/extras

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XII
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  4. Syndromic Surveillance

    1. Front Matter

      Pages 99-99
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    2. Data Analysis Research Issues and Emerging Public Health Biosurveillance Directions

      • Henry Rolka
      Pages 101-107

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

      • Galit Shmueli, Stephen E. Fienberg
      Pages 109-140

    4. Evaluating Statistical Methods for Syndromic Surveillance

      • Michael A. Stoto, Ronald D. Fricker Jr., Arvind Jain, Alexis Diamond, John O. Davies-Cole, Chevelle Glymph et al.
      Pages 141-172

    5. A Spatiotemporal Analysis of Syndromic Data for Biosurveillance

      • Laura Forsberg, Caroline Jeffery, Al Ozonoff, Marcello Pagano
      Pages 173-191

  5. Modeling

    1. Front Matter

      Pages 193-193
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    2. Modeling and Simulation for Defense and National Security

      • Wendy L. Martinez
      Pages 195-198

    3. Modeling and Parameterization for a Smallpox Simulation Study

      • Sarah Michalak, Gregory Wilson
      Pages 199-213

    4. 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 Jr, Myron J. Katzoff, Stanley A. Shulman
      Pages 215-235

    5. Secure Statistical Analysis of Distributed Databases

      • Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter
      Pages 237-261

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

      • Tom Burr, James Gattiker, Mark Mullen, George Tompkins
      Pages 263-280
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Keywords

About this book

All the data was out there to warn us of this impending attack, why didn't we see it?" This was a frequently asked question in the weeks and months after the terrorist attacks on the World Trade Center and the Pentagon on September 11, 2001. In the wake of the attacks, statisticians moved quickly to become part of the national response to the global war on terror. This book is an overview of the emerging research program at the intersection of national security and statistical sciences. A wide range of talented researchers address issues in

- Syndromic Surveillance---How do we detect and recognize bioterrorist events?

- Modeling and Simulation---How do we better understand and explain complex processes so that decision makers can take the best course of action?

- Biometric Authentication---How do we pick the terrorist out of the crowd of faces or better match the passport to the traveler?

- Game Theory---How do we understand the rules that terrorists are playing by?

This book includes technical treatments of statistical issues that will be of use to quantitative researchers as well as more general examinations of quantitative approaches to counterterrorism that will be accessible to decision makers with stronger policy backgrounds.

Dr. Alyson G. Wilson is a statistician and the technical lead for DoD programs in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. Gregory D. Wilson is a rhetorician and ethnographer in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. David H. Olwell is chair of the Department of Systems Engineering at the Naval Postgraduate School in Monterey, California.

Reviews

"Counterterrorism is an important research area for national security and defense, and an area where statisticians can provide insights and tools to improve the standard practice. As funding and governmental interest in these areas continues to grow, this book will provide a stepping stone for those interested in this emerging area of statistics." Christine Anderson-Cook, JASA, Vol. 102, No. 478, June 2007

Editors and Affiliations

  • Los Alamos National Laboratory, Los Alamos, USA

    Alyson G. Wilson, Gregory D. Wilson

  • Department of Systems Engineering, Naval Postgraduate School, Monterey, USA

    David H. Olwell

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