Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers.
Risk analysis can be defined as a systematic use of information to identify hazards, threats and opportunities, as well as their causes and consequences, and then express risk. In order to successfully develop such a systematic use of information, those analyzing the risk need to understand the fundamental concepts of risk...
Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed ...
This comprehensive and accessible guide to risk assessment, management and governance approaches the topic from two angles, explaining new insights and enabling a synthesis of the engineering, statistical and social science perspectives on risk management.
This comprehensive and accessible guide to risk assessment, management and governance approaches the topic from two angles, explaining new insights...
Quantitative risk assessments cannot eliminate risk, nor can they resolve tradeoffs. They can, however, guide principled risk management and reduction if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a...
Quantitative risk assessments cannot eliminate risk, nor can they resolve tradeoffs. They can, however, guide principled risk management and reduction...
This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.
In this second edition of the book, two major topics have been added to the original version: copula models which are used to study the effect of structural...
This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic fr...
A comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.
A comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the mode...
Risk, Surprises and Black Swans provides an in depth analysis of the risk concept with a focus on the critical link to knowledge; and the lack of knowledge, that risk and probability judgements are based on.
Based on technical scientific research, this book presents a new perspective to help you understand how to assess and manage surprising, extreme events, known as Black Swans . This approach looks beyond the traditional probability-based principles to offer a broader insight into the important aspects of uncertain events and in doing so explores the ways to manage them.
This book...
Risk, Surprises and Black Swans provides an in depth analysis of the risk concept with a focus on the critical link to knowledge; and the lack of k...
