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Adversarial risk analysis with incomplete information: a level-k approach.
TLDR
This article proposes, develops, and illustrates the application of level-k game theory to adversarial risk analysis. Expand
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Modeling Equity for Allocating Public Resources
Equity and fairness constitute central concerns in many disciplines, and their relevance to the allocation of public resources is undeniable. However, measures of equity used in the studies of publicExpand
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A nested-compliance table policy for emergency medical service systems under relocation
TLDR
The goal of Emergency Medical Service (EMS) systems is to provide rapid response to emergency calls in order to save lives. Expand
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Designing Aviation Security Systems: Theory and Practice
Designing effective aviation security systems has become a problem of national concern. Since September 11, 2001, numerous changes have been made to aviation security systems. Many of these changesExpand
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DVT Surveillance Program in the ICU: Analysis of Cost-Effectiveness
Background Venous Thrombo-embolism (VTE – Deep venous thrombosis (DVT) and/or pulmonary embolism (PE) – in traumatized patients causes significant morbidity and mortality. The current study evaluatesExpand
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Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies
An effective emergency medical service (EMS) response to emergency medical calls during extreme weather events is a critical public service. Nearly all models for allocating EMS resources focus onExpand
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Infrastructure systems, risk analysis, and resilience--research gaps and opportunities.
This Special Issue is aimed at risk analysts addressing risks and resilience in infrastructure systems. Modern infrastructure systems offer unprecedented convenience and service levels. They areExpand
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Guidance on publishing in the mathematical modeling area for Risk Analysis.
Applying statistical tests to empirically compare tabu search parameters for MAX 3-SATISFIABILITY: A case study
The application of stochastic heuristic, like tabu search or simulated annealing, to address hard discrete optimization problems has been an important advance for efficiently obtaining good solutionsExpand
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