An analysis of drug use in Miami based on a 1992 survey of 1,690 Dade County middle and senior high school students. After describing the sample population in terms of racial and ethnic backgrounds (questions regarding income or employment status were not included in the survey), the author separately examines the use of cigarettes, alcohol, steroids, marijuana, inhalants, LSD, crack, cocaine, heroin, and narcotics. Each chapter explores possible variables affecting use levels, explains methods used to analyze the data, and discusses whether the data supports the hypotheses proffered. Annotation copyrighted by Book News, Inc., Portland, OR
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
The value-at-risk measurement methodology is a widely-used toolin financial market risk management. The fifth edition of ProfessorMoorad Choudhry’s benchmark reference text An Introductionto Value-at-Risk offers an accessible and reader-friendly lookat the concept of VaR and its different estimation methods, and isaimed specifically at newcomers to the market or those unfamiliarwith modern risk management practices. The author capitalises onhis experience in the financial markets to present this concise yetin-depth coverage of VaR, set in the context of risk management asa whole. Topics covered include: Defining value-at-risk Variance-covariance methodology Portfolio VaR Credit risk and credit VaR Stressed VaR Critique and VaR during crisis Topics are illustrated with Bloomberg screens, worked examplesand exercises. Related issues such as statistics, volatility andcorrelation are also introduced as necessary background forstudents and practitioners. This is essential reading for all thosewho require an introduction to financial market risk management andrisk measurement techniques. Foreword by Carol Alexander, Professor of Finance, University ofSussex.
A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.
The Fantods of Risk is a collection of essays from the pages of Risk Management Reports, which the author edited, wrote and published from 1974 through 2007, plus several other published articles. The subject is risk management, a discipline for dealing with uncertainty in our personal and organizational lives. They continue the author’s contrary and challenging approach to managing risk, first started in Risk Management Reports and later in Mumpsimus Revisited, published in 2005.
Why are vast sums spent on controlling some risks but not others? Is there any logic to the techniques we use in risk regulation? These key questions are explored as this text exposes the components of risk regulation systems.
A practical and clarifying approach to aging andaging-related diseases Providing a thorough and extensive theoretical framework, TheBiostatistics of Aging: From Gompertzian Mortality to an Index ofAging-Relatedness addresses the surprisinglysubtlenotion—with consequential biomedical and public healthrelevance—of what it means for acondition to be related toaging. In this pursuit, the book presents a new quantitativemethodto examine the relative contributions of genetic andenvironmental factors to mortality anddisease incidence in apopulation. With input from evolutionary biology, population genetics,demography, and epidemiology, this medically motivated bookdescribes an index of aging-relatedness and also features: Original results on the asymptotic behavior of the minimum oftime-to-event random variables, which extends those of theclassical statistical theory of extreme values A comprehensive and satisfactory explanation based onbiological principles of the Gompertz pattern of mortality in humanpopulations The development of an evolution-based model of causationrelevant to mortality and aging-related diseases of complexetiology An explanation of how and why the description of humanmortality by the Gompertz distribution can be improved upon fromfirst principles The amply illustrated analysis of real-world data, including aprogram for conducting the analysis written in the freely availableR statistical software Technical appendices including mathematical material as well asan extensive and multidisciplinary bibliography on aging andaging-related diseases The Biostatistics of Aging: From Gompertzian Mortality to anIndex of Aging-Relatedness is an excellent resource forpractitioners and researchers with an interest in aging andaging-related diseases from the fields of medicine, biology,gerontology, biostatistics, epidemiology, demography, and publichealth.
