analysis

Books

Operational Risk Modelling and Analysis: Theory and Practice

[ReviewAZON asin=”1904339344″]The definitive journey into operational risk – this new multi-contributor title will guide you with the identification, modelling, implementation, analysis and integration of operational risk into your overall risk management framework.

Enables you to make more informed decisions on how to identify and avoid the potential risks as well as fully understand the acceptable risks on a cost-benefit basis.

Divided under three main sections: 1. Database Modelling, Regulatory and Technical Issues; 2. Risk Modelling and Measurement; 3. Case Studies of Implementation of Operational Risk Projects in Large Financial Institutions.

Highlights integral issues such as how to spot the links between indicators of operational risk and the potential losses.

Examines the tensions inherent in the nature of operational risk at both quantitative and qualitative levels.

Outlines the practical day-to-day issues and illustrates workable methodologies with examples, case studies and cutting-edge analysis.

Provides an even mix of both the progressive and in-depth research taking place in academic institutions as well as the actual practical implementation issues.

Provides the tools to cope with differing and complex situations within operational risk.

Edited by Marcelo Cruz, a world-renowned leading expert on operational risk modelling and measurement.[/ReviewAZON]

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Books

Simulation Modeling and Analysis

[ReviewAZON asin=”0071255192″]This authoritative, comprehensive and thoroughly revised text is designed for a one term or two quarter course in simulation taught at the senior or graduate level. It is offered in departments of industrial engineering, business, computer science and operations research. New features include an innovative chapter on simulation of manufacturing systems and an up-to-date treatment of simulation software and animation, with definitive coverage of model validation, input probability distribution and analysis of simulation output data.[/ReviewAZON]

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Books

Risk and Decision Analysis in Projects (Cases in project and program management series)

[ReviewAZON asin=”1880410281″]Is there anything more important to the success of a project than making good decisions? This skill is certainly at or near the top of the list. Yet, few of us have had formal training in decision making. Decision analysis is the discipline that helps people choose wisely under conditions of uncertainty. This book introduces risk and decision analysis applied to project management. Probability is the language of uncertainty. Fortunately, a few basic concepts in probability and statistics go a long way toward making better decisions. The evaluation calculations are straightforward, and many everyday problems can be solved with a handheld calculator. Schuyler also explains and demystifies key concepts and techniques, including expected value, optimal decision policy, decision trees, the value of information, Monte Carlo simulation, probabilistic techniques, modeling techniques, judgments and biases, utility and multi-criteria decisions, and stochastic variance.

Some of Schuyler’s tried-and-true tips include:

-The single-point estimate is almost always wrong, so that it is always better to express judgments as ranges. A probability distribution completely expresses someone’s judgment about the likelihood of values within the range.

-We often need a single-value cost or other assessment, and the expected value (mean) of the distribution is the only unbiased predictor. Expected value is the probability-weighted average, and this statistical idea is the cornerstone of decision analysis.

-Some decisions are easy, perhaps aided by quick decision tree calculations on the back of an envelope. Decision dilemmas typically involve risky outcomes, many factors, and the best alternatives having comparable value. We only need analysis sufficient to confidently identify the best alternative. As soon as you know what to do, stop the analysis!

-Be alert to ways to beneficially change project risks. We can often eliminate, avoid, transfer, or mitigate threats in some way. Get to know the people who make their living helping managers sidestep risk. They include insurance agents, partners, turnkey contractors, accountants, trainers, and safety personnel.[/ReviewAZON]

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Books

Risk Analysis: A Quantitative Guide

[ReviewAZON asin=”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.[/ReviewAZON]

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Books

Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective

[ReviewAZON asin=”0824789660″]A careful blend of theory and practice, this book presents a comprehensive approach to assessing the impact of unplanned events on the cost of engineering complex systems. It illustrates how probability theory is applied to model, measure, and manage risk in the cost of a systems engineering project. The book contains numerous mathematical and professional anecdotes, case studies, results, observations, and interpretations that clarify the challenges in cost risk analysis. It includes references, equations, and illustrations, provides theoretical and applied exercises, and uses examples and case discussions derived from systems engineering projects to describe key concepts.[/ReviewAZON]

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Books

Introduction to Risk Analysis: A Systematic Approach to Science-Based Decision Making

[ReviewAZON asin=”0865876967″]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.[/ReviewAZON]

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