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| Author | : Tim Bedford |
| Publisher | : Cambridge University Press |
| Total Pages | : 228 |
| Release | : 2001-04-30 |
| Genre | : Mathematics |
| ISBN | : 9780521773201 |
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
| Author | : Daniel M. Byrd III |
| Publisher | : Government Institutes |
| Total Pages | : 463 |
| Release | : 2000-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1591919630 |
Written for safety and loss-control, environmental, and quality managers, this is the first comprehensive, integrated guide to developing a complete environmental risk analysis for regulated substances and processes. Unlike other books, Introduction to Risk Analysis looks at risk from a regulatory perspective, allowing both professionals in regulatory agencies concerned with risk_including OSHA, EPA, USDA, DOT, FDA, and state environmental agencies_and professionals in any agency-regulated industry to understand and implement the methods required for proper risk assessment. The authors examine risk and the structure of analysis. Emphasizing the predictive nature of risk, they discuss the quantitative nature of risk and explore quantitative-analysis topics, including data graphing, logarithmic thinking, risk estimating, and curve fitting. Chapters include discussions on functions, models, and uncertainties; the regulatory process; risk assessment; exposure; dosimetry; epidemiology; toxicology; risk characterization; comparative risk assessment; ecological risk assessment; risk management; and risk communication. Six in-depth case studies, an annotated bibliography, and more than 50 figures are also included.
| Author | : Gregory Connor |
| Publisher | : Princeton University Press |
| Total Pages | : 400 |
| Release | : 2010-03-15 |
| Genre | : Business & Economics |
| ISBN | : 1400835291 |
Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 422 |
| Release | : 2009-03-24 |
| Genre | : Political Science |
| ISBN | : 0309120462 |
Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.
| Author | : Igor Rychlik |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 287 |
| Release | : 2006-10-07 |
| Genre | : Mathematics |
| ISBN | : 3540395210 |
This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.
| Author | : David Vose |
| Publisher | : John Wiley & Sons |
| Total Pages | : 754 |
| Release | : 2008-04-28 |
| Genre | : Business & Economics |
| ISBN | : 0470512849 |
Risk Analysis concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability of a problem. By providing the building blocks the author guides the reader through the necessary steps to produce an accurate risk analysis model and offers general and specific techniques to cope with most modeling problems. A wide range of solved problems is used to illustrate these techniques and how they can be used together to solve otherwise complex problems.
| Author | : James F. Broder |
| Publisher | : Elsevier |
| Total Pages | : 368 |
| Release | : 2011-12-07 |
| Genre | : Business & Economics |
| ISBN | : 0123822343 |
As there is a need for careful analysis in a world where threats are growing more complex and serious, you need the tools to ensure that sensible methods are employed and correlated directly to risk. Counter threats such as terrorism, fraud, natural disasters, and information theft with the Fourth Edition of Risk Analysis and the Security Survey. Broder and Tucker guide you through analysis to implementation to provide you with the know-how to implement rigorous, accurate, and cost-effective security policies and designs. This book builds on the legacy of its predecessors by updating and covering new content. Understand the most fundamental theories surrounding risk control, design, and implementation by reviewing topics such as cost/benefit analysis, crime prediction, response planning, and business impact analysis--all updated to match today's current standards. This book will show you how to develop and maintain current business contingency and disaster recovery plans to ensure your enterprises are able to sustain loss are able to recover, and protect your assets, be it your business, your information, or yourself, from threats. Offers powerful techniques for weighing and managing the risks that face your organization Gives insights into universal principles that can be adapted to specific situations and threats Covers topics needed by homeland security professionals as well as IT and physical security managers
| Author | : Louis Anthony Cox Jr. |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 564 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461508479 |
Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.
| Author | : Mohammad Modarres |
| Publisher | : CRC Press |
| Total Pages | : 408 |
| Release | : 2016-04-27 |
| Genre | : Mathematics |
| ISBN | : 1420003496 |
Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p
| Author | : Elisa Luciano |
| Publisher | : MDPI |
| Total Pages | : 224 |
| Release | : 2019-10-16 |
| Genre | : Business & Economics |
| ISBN | : 3039216244 |
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
