Risk Analysis: A Quantitative Guide is a comprehensive guide for eh
risk analyst and decision maker. based on the author's extensive
experience in solving real-world risk problems, this book is an
invaluable aid to the risk analysis practitioner. by providing the
building blocks of risk-based thinking the author guides the reader
through the steps necessary to produce a realistic risk-based
thinking the author guides the reader through the steps necessary
to produce a realistic risk analysis and offers general and
specific techniques to cope with most common and challenging risk
modelling problems. A wide range of solved examples is used to
illustrate these technique and how they can be put together to make
the best possible risk-based decisions.
The third edition of this highly regarded text has been
thoroughly updated and expanded considerably with five new chapters
for the risk manager, including how to plan and assess the quality
of risk analysis, as well as new chapters for this risk analysis,
as well as new chapters for the risk analysis modeller on summation
of random variables, causality, optimization, insurance and finance
modelling, forecasting, model validation and common errors, capital
investment and microbial risk assessment. This new edition provides
a greater focus on business and includes applications in a wide
range of different settings.
Key Features: Breaks down techniques into types of modelling
issues (like distribution fitting, correlation and time series
forecasting) and then applies them with easy-to-follow examples.
Explains powerful and proven Monte Carlo simulation and numerical
techniques for dealing with uncertainty. Includes recent
innovations inmodelling like fast Fourier transforms and copulas.
Over 150 examples models and over 400 illustrations. Written in an
informal manner with a practical rather than academic focus.
Discusses the planning, uses and abuses of risk analysis. Includes
a compendium of almost eighty distribution types and their
uses.
General
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