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Providing new knowledge on risk analysis and simulation for megaprojects, this book is essential reading for both academics and;
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assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates;
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simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk;
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simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk;
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of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the;
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simulation. * Presents a powerful simulation method called Subset Simulation for efficient engineering risk assessment and failure and sensitivity;
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on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year;
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exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a;
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. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability;
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. Megaprojects are large, complex projects that typically cost billions of dollars and impact millions of people, like building a high-speed rail line, a;
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. Megaprojects are large, complex projects which typically cost billions of dollars and impact millions of people, like building a high-speed rail line;
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Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and;
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real examples using popular commercial simulation packages ARENA and @Risk. The coverage includes Risk Simulation, Dynamic Systems, and;
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the transience of good times and put quantitative analysis of risk on par with quantitative analysis of reward. Simulation techniques also;
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An updated guide to risk analysis and modeling Although risk was once seen as something that was both unpredictable and uncontrollable, the;
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new trends in the managing of megaprojects and identify lessons learned from the personal views of the interviewees. The novel ideas presented;
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management Risk Centric Threat Modeling: Process for Attack Simulation and Threat Analysis is a resource for software developers, architects;
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Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four;
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This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis;
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extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk;
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Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events;
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DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing;
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An authoritative handbook on risk management techniques and simulations as applied to financial engineering topics, theories, and;
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analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment;
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analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment;
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control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization;
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training needs analysis, with simulation development and deployment driven by educational principle rather than technological availability;
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