Foundations of Risk Analysis 风险分析的基础 第2版

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	【资料名称】:Foundations of Risk Analysis, Second Edition     【资料描述】: 　　编辑推荐 　　Presents an updated book on foundations of risk analysis, reflecting recent developments on risk and uncertainty concepts, representations and treatment. 　　内容简介 　　Foundations of Risk Analysis presents the foundational issues in risk analysis - expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems.he principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making.his new edition presents an updated perspective on risk and risk analysis, reflecting on recent developed theory on the risk concept and its measurement.ew material includes an assessment of how risk is defined, understood and described as well as exploring the use of other approaches for representing and characterizing uncertainties than probability; recent developments on risk and uncertainty concepts, representations and treatment are also presented. ? 　　作者简介 　　Terje Aven, University of Stavanger, Norway 　　目录 　　Cover 　　Title Page 　　Copyright 　　Preface to the second edition 　　Preface to the first edition 　　Chapter 1: Introduction 　　1.1 The importance of risk and uncertainty assessments 　　1.2 The need to develop a proper risk analysis framework 　　Bibliographic notes 　　Chapter 2: Common thinking about risk and risk analysis 　　2.1 Accident risk 　　2.2 Economic risk 　　2.3 Discussion and conclusions 　　Bibliographic notes 　　Chapter 3: How to think about risk and risk analysis 　　3.1 Basic ideas and principles 　　3.2 Economic risk 　　3.3 Accident risk 　　3.4 Discussion 　　Bibliographic notes 　　Chapter 4: How to assess uncertainties and specify probabilities 　　4.1 What is a good probability assignment? 　　4.2 Modeling 　　4.3 Assessing uncertainty of Y 　　4.4 Uncertainty assessments of a vector X 　　4.5 Discussion 　　Bibliographic notes 　　Chapter 5: How to use risk analysis to support decision-making 　　5.1 What is a good decision? 　　5.2 Some examples 　　5.3 Risk problem classification schemes 　　Bibliographic notes 　　Chapter 6: Summary and conclusions 　　Appendix A: Basic theory of probability and statistics 　　A.1 Probability theory 　　A.2 Classical statistical inference 　　A.3 Bayesian inference 　　Bibliographic notes 　　Appendix B: Terminology 　　B.1 Risk management: Relationships between key terms 　　References 　　Index 【下载地址隐藏】：                    点：回复可见地址 游客，如果您要查看本帖隐藏内容请回复