risk quantification

Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so that they are random functions of time and/or space. The solution of stochastic equations poses notable technical difficulties that are frequently circumvented by heuristic assumptions at the expense of accuracy and rigor. The main objective of Stochastic Systems is to promoting the development of accurate and efficient methods for solving stochastic equations and to foster interactions between engineers, scientists, and mathematicians. To achieve these objectives Stochastic Systems presents:          A clear and brief review of essential concepts on probability theory, random functions, stochastic calculus, Monte Carlo simulation, and functional analysis             Probabilistic models for random variables and functions needed to formulate stochastic equations describing realistic problems in engineering and applied sciences             Practical methods for quantifying the uncertain parameters in the definition of stochastic equations, solving approximately these equations, and assessing the accuracy of approximate solutions   Stochastic Systems provides key information for researchers, graduate students, and engineers who are interested in the formulation and solution of stochastic problems encountered in a broad range of disciplines. Numerous examples are used to clarify and illustrate theoretical concepts and methods for solving stochastic equations. The extensive bibliography and index at the end of the book constitute an ideal resource for both theoreticians and practitioners.

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The End of Modern Portfolio Theory

Behavioral Investment Management proves what many have been thinking since the global economic downturn: Modern Portfolio Theory (MPT) is no longer a viable portfolio management strategy. Inherently flawed and based largely on ideology, MPT can not be relied upon in modern markets.

Behavioral Investment Management offers a new approach-one addresses certain realities that MPT ignores, including the fact that emotions play a major role in investing. The authors lay out new standards reflecting behavioral finance and dynamic asset allocation, then explain how to apply these standards to your current portfolio construction efforts. They explain how to move away from the idealized, black-and-white world of MPT and into the real world of investing–placing heavy emphasis on the importance of mastering emotions.

Behavioral Investment Management provides a portfolio-management standard for an investing world in disarray.

PART 1- The Current Paradigm: MPT (Modern Portfolio Theory); Chapter 1: Modern Portfolio Theory as it Stands; Chapter 2: Challenges to MPT: Theoretical-the assumptions are not thus; Chapter 3: Challenges to MPT: Empirical-the world is not thus; Chapter 4: Challenges to MPT: Behavioural-people are not thus; Chapter 5: Describing the Overall Framework: Investors and Investments; PART 2- Amending MPT: Getting to BMPT; Chapter 1:Investors-The Rational Investor; Chapter 2: Investments-Extracting Value from the long-term; Chapter 3: Investments-Extracting Value from the short-term; Chapter 4: bringing it together, the new BMPT paradigm; PART 3- Emotional Insurance: Sticking with the Journey; Chapter 1: Investors- the emotional investor; Chapter 2: Investments- Constraining the rational portfolio; PART 4- Practical Implications; Chapter 1: The BMPT and Wealth Management; Chapter 2: The BMPT and the Pension Industry; Chapter 3: The BMPT and Asset Managemen

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Never HIGHLIGHT a Book Again!  Virtually all testable terms, concepts, persons, places, and events are included. Cram101 Textbook Outlines gives all of the outlines, highlights, notes for your textbook with optional online practice tests. Only Cram101 Outlines are Textbook Specific. Cram101 is NOT the Textbook. Accompanys: 9780470019078

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In the 20th century’s final decades, expert judgment in the form of quantitative risk assessment became the authoritative mode for understanding and expressing health and technological threats in the United States. By the mid-1980s, indeed, risk assessment had become one of the fundamental bases for public policy and federal regulation. Although the approach was new, controversial, and plagued by uncertainty, risk assessment was applied broadly as a means for giving justifiable, “scientific” answers to difficult political questions raised by modern science and technology. The professionalization of risk assessment in the 1970s and 1980s, which this dissertation places in historical context, was an important signpost for broader shifts in American approaches to risk during the last half of the 20th century. Along with the related fields of risk management and risk communication, formal risk assessment codified an increasingly authoritative expert epistemology based on distanced, statistical calculations. To illustrate these developments, this dissertation analyzes two case studies involving exposures to radon gas, an occupational and residential carcinogen and a hazard that the federal government attempted to manage both before and after the professionalization of risk assessment. These radon crises—the first in uranium mines in the Southwest in the 1950s and 1960s, and the second in suburban homes in the 1980s—are a lens through which the dissertation examines the ongoing tension between an expert epistemology that relied on quantification and a non-expert epistemology based on local knowledge, empirical evidence, and personal experience. These cases illustrate ongoing attempts to construct ideal citizens through risk communication and the media, and they reveal changes and continuities in the American public’s perception of risk during the second half of the 20th century. This dissertation historicizes risk and the discourses around it, showing how regulatory agencies, the media, risk professionals, and private citizens employed narratives about risk to support their own epistemological systems, make claims to power or autonomy, and demarcate a shifting relationship between the government and its citizens.

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“The Complexity of Proceduralized Tasks” deals with the problem of quantifying the complexity of a proceduralized task; in other words, a task written as a procedure.

This book proposes a systematic framework that is able to quantify the complexity of proceduralized tasks. This approach is designed to complement existing methods that have focused mainly on making procedures easier to understand, rather than enhancing their overall performance.

“The Complexity of Proceduralized Tasks” will be a valuable resource for researchers and students who are interested in the provision of effective procedures for the purpose of enhancing the performance of human operators. It discusses a range of complexity factors, with chapters dedicated to such topics as software complexity, emergency tasks, and the TACOM measure.

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