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020 _a9780387352091
_99780387352091
024 7 _a10.1007/0387352090
_2doi
035 _avtls000331230
039 9 _a201509030713
_bVLOAD
_c201404120617
_dVLOAD
_c201404090357
_dVLOAD
_c201401311407
_dstaff
_y201401301204
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aWilson, Alyson G.
_eeditor.
_9301272
245 1 0 _aStatistical Methods in Counterterrorism :
_bGame Theory, Modeling, Syndromic Surveillance, and Biometric Authentication /
_cedited by Alyson G. Wilson, Gregory D. Wilson, David H. Olwell.
264 1 _aNew York, NY :
_bSpringer New York,
_c2006.
300 _axii, 292 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aGame Theory -- Game Theory in an Age of Terrorism: How Can Statisticians Contribute? -- Combining Game Theory and Risk Analysis in Counterterrorism: A Smallpox Example -- Game-Theoretic and Reliability Methods in Counterterrorism and Security -- Biometric Authentication -- Biometric Authentication -- Towards Statistically Rigorous Biometric Authentication Using Facial Images -- Recognition Problem of Biometrics: Nonparametric Dependence Measures and Aggregated Algorithms -- Syndromic Surveillance -- Data Analysis Research Issues and Emerging Public Health Biosurveillance Directions -- Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance -- Evaluating Statistical Methods for Syndromic Surveillance -- A Spatiotemporal Analysis of Syndromic Data for Biosurveillance -- Modeling -- Modeling and Simulation for Defense and National Security -- Modeling and Parameterization for a Smallpox Simulation Study -- Approaches to Modeling the Concentration Field for Adaptive Sampling of Contaminants during Site Decontamination -- Secure Statistical Analysis of Distributed Databases -- Statistical Evaluation of the Impact of Background Suppression on the Sensitivity of Passive Radiation Detectors.
520 _aAll 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWilson, Gregory D.
_eeditor.
_9301273
700 1 _aOlwell, David H.
_eeditor.
_9301274
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387329048
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-35209-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c277995
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