rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Risk Analysis of Complex and Uncertain Systems
  name:
    name part: Cox, Louis Anthony.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVIII, 436 p. online resource.
  abstract: "Tony Cox is among the most active and creative architects and users of quantitative risk analysis. This book is full of interesting equations, conceptual designs and conundrums that characterize QRA and its applications to risk management. Informed by trenchant thinking and perceptive writing, this is a timely resource for the risk analysis community." Michael R. Greenberg, Professor and Faculty Dean, Edward J. Bloustein School of Planning and Public Policy, Rutgers University "Tony Cox's impressive book applies both simple and cutting-edge risk models to a variety of fields. It demonstrates creative but tractable ways to model real-world problems of great practical importance regarding biological, engineering, and social risks. This book deserves to become influential and widely read by those seeking practical state-of-the-art methods for risk analysis." Vicki Bier, Professor, Engineering Physics and Industrial Engineering & Director - Center for Human Performance and Risk Analysis, University of Wisconsin-Madison "Risk analysis is as old as the first cave dweller mulling how to survive winter or woolly mammoths. It remains essential today in our world of accidents, disease, climate change and terrorism. But some say that quantitative risk analysis is too complicated or time-consuming, and that qualitative intuition is a better way to make decisions. In this ambitious and meticulous book, Tony Cox makes the case that quantitative risk analysis is actually the antidote to uncertainty and complexity, superior to other modes of thinking, both practical and effective. Cox raises the bar on a vital debate." Jonathan B. Wiener, Duke University, and President, Society for Risk Analysis (2008) "This is an excellent, approachable read for any risk manager. Simple but devastating examples show how not to do risk analysis. Insightful case studies apply quantitative risk assessment to natural, random threats, and to terrorist threats posed by an intelligent adversary. This is…
  table of contents: 1 INTRODUCTION TO RISK ANALYSIS -- Quantitative Risk Assessment Goals and Challenges -- to Engineering Risk Analysis -- to Health Risk Analysis -- 2 AVOIDING BAD RISK ANALYSIS -- Limitations of Risk Assessment Using Risk Matrices -- Limitations of Quantitative Risk Assessment Using Aggregate Exposure and Risk Models -- 3 PRINCIPLES FOR DOING BETTER -- Identifying Nonlinear Causal Relations in Large Data Sets -- Overcoming Preconceptions and Confirmation Biases Using Data Mining -- Estimating the Fraction of Disease Caused by One Component of a Complex Mixture: Bounds for Lung Cancer -- Bounding Resistance Risks for Penicillin -- Confronting Uncertain Causal Mechanisms – Portfolios of Possibilities -- Determining What Can Be Predicted: Identifiability -- 4 APPLICATIONS AND EXTENSIONS -- Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer? -- Simplifying Complex Dynamic Networks: A Model of Protease Imbalance and COPD Dynamic Dose-Response -- Value of Information (VOI) in Risk Management Policies for Tracking and Testing Imported Cattle for BSE -- Improving Antiterrorism Risk Analysis -- Designing Resilient Telecommunications Networks.
  note: by Louis Anthony Cox.
  subject:
    topic: Business
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Probabilities
  subject:
    topic: Biomathematics
  subject:
    topic: Environmental health
  subject:
    topic: Environmental sciences
  subject:
    topic: Social policy
  subject:
    topic: Business and Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Environmental Health
  subject:
    topic: Math. Appl. in Environmental Science
  subject:
    topic: Social Policy
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Mathematical and Computational Biology
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 129
  identifier: 9780387890142
  identifier: http://dx.doi.org/10.1007/978-0-387-89014-2
  record info:
    record creation date: 100301
    record change date: 20151204174824.0
    record identifier: 978-0-387-89014-2