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Wednesday, July 22, 2020 | History

5 edition of Risk assessment, modeling and decision support found in the catalog.

Risk assessment, modeling and decision support

Risk assessment, modeling and decision support

strategic decisions

  • 261 Want to read
  • 17 Currently reading

Published by Springer Verlag in Berlin .
Written in English

    Subjects:
  • Earthquake hazard analysis.,
  • Natural disasters -- Risk assessment.,
  • Decision support systems.

  • Edition Notes

    StatementAnn Bostrom, Steven French, Sara Gottlieb, editors.
    SeriesRisk, governance and society -- v. 14
    ContributionsBostrom, Ann., French, Steven P., Gottlieb, Sara J.
    Classifications
    LC ClassificationsQE539.2.S34 R56 2008
    The Physical Object
    Paginationxiv, 332 p. :
    Number of Pages332
    ID Numbers
    Open LibraryOL21096509M
    ISBN 103540711570
    ISBN 109783540711575
    LC Control Number2007936685

      Uncertainty in Natural Hazards, Modeling and Decision Support An Introduction to This Volume. The book focuses on advancements in uncertainty and risk assessment for natural hazards driven by biological, physical, and climatic factors. and the state of the science in quantitative uncertainty assessment. The book introduces a framework Author: Karin Riley, Matthew Thompson, Peter Webley, Kevin D. Hyde. The book's central premise is that ‘essentially, all models are wrong, but some are useful’ (G.E.P. Box), and the book distinguishes itself by focusing on the art of building useful models for risk assessment and decision analysis rather than on delving into mathematical detail of the models that are built/5(41).

    Exposure assessment provides key input to the process of source-exposure-dose-response-risk characterization that addresses questions concerning the degree to which environmental contaminants pose risks to human and/or ecological health (NRC, , ; USEPA, a).A variety of probabilistic risk analysis (PRA) models and methods may be used to characterize uncertainty or lack of Cited by: Find many great new & used options and get the best deals for Nato Science Series IV: Comparative Risk Assessment and Environmental Decision Making 38 (, Hardcover) at the best online prices at eBay! Free shipping for many products!

    Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.   The book's central premise is that ‘essentially, all models are wrong, but some are useful’ (G.E.P. Box), and the book distinguishes itself by focusing on the art of building useful models for risk assessment and decision analysis rather than on delving into /5(5).


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Risk assessment, modeling and decision support Download PDF EPUB FB2

The introductory chapter provides an historical overview of the rise of risk assessment in the U.S., with particular emphasis on the role of seismic risk assessment. Four key components of risk assessment and decision support software are analyzed in detail in the remaining papers: treatment of uncertainty, loss modeling and decision support book, modeling of seismic.

The book's central premise is that ‘essentially, all models are wrong, but some are useful’ (G.E.P. Box), and the book distinguishes itself by focusing on the art of building useful models for risk assessment and decision analysis rather than on delving into mathematical detail of the models that are by: Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management.

This book examines risk analysis, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions, organizations, and policy.2/5(1).

Get this from a library. Risk assessment, modeling and decision support: strategic decisions. [Ann Bostrom; Steven P French; Sara J Gottlieb;] -- "The papers in this volume integrate results from current research efforts in earthquake engineering with research from the larger risk assessment community.

The authors include risk and hazard. Risk and uncertainty are an inherent part of any situation in which a forecast is involved. The assessment and modelling of these may be thought of as a natural extension of regular traditional financial modelling.

Perhaps a better term for “risk” and “uncertainty” is “reality”: The modelling of risks and uncertainties is really an attempt [ ]. Modeling and decision support book timely multidisciplinary applications, problems, and case histories in risk modeling, assessment, and management.

Risk Modeling, Assessment, and Management, Third Edition describes the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, homeland security, management, and public policy.

Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management This book examines risk analysis, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions, organizations, and policy.

The author presents fundamental concepts (hierarchical holographic modeling. RiskAssessment,ModelingandDecisionSupport:StrategicDirections Risk Assessment, Modeling and Decision Support_ Strategic Directions - Google PDF KB.

Risk Assessment and Decision Analysis with Bayesian Networkspublication date 28 October Blog dedicated to the book Forum dedicated to the book (note this LinkedIn Group replaces the old forum their consulting services, whether it for a feasibility study, in-house training, coaching or problem analysis and modeling.

Principles of Financial Modelling – Model Design and Best Practices Using Excel and VBA covers the full spectrum of financial modelling tools and techniques, in order to provide practical skills that are grounded in real-world applications.

Based on rigorously-tested materials created for consulting projects and for training courses, this book demonstrates how to plan, design [ ]. Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts.

In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment.

We introduce some basic tenets of uncertainty analysis, discuss. Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a follow-up to the author's bestselling Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Risk Modeling for Determining Value and Decision Making presents comprehensive examples of risk/uncertainty analyses from a broad range of.

Risk assessment and management was established as a scientific field some 30–40 years ago. Principles and methods were developed for how to conceptualise, assess and manage risk. These principles and methods still represent to a large extent the foundation of this field today, but many advances have been made, linked to both the theoretical Cited by:   Risk Assessment Modeling.

and uncertainties for risk management decision alternatives that decision-makers must choose among. In this Author: Louis Anthony Tony Cox. Risk Assessment, Modeling and Decision Support Strategie Directions Roadmap to the Book 2 2 A Brief History of Seismic Risk Assessment 5 Introduction 5 Terminology 6 Overview of Seismic Risk Assessment 9 A Brief Chronology of Selected Events in Seismic Risk Seismic Risk Assessment and Mitigation: Current Issues Cited by:   The complete guide to the principles and practice of risk quantification for business applications.

The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in.

Decision Support and Assessment Modelling Any numbers in boxes in the left hand margin of the pages refer to the numbered list of queries on the last page of the chapter.

There are also some additional queries in the margin from the typesetter. Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers.

The book presents numerous examples based on real data and relevant practical decisions in a. Abstract. We discuss the problem of measuring the quality of decision support (classification) system that involves granularity. We put forward the proposal for such quality measure in the case when the underlying granular system is based on rough and fuzzy set by: 1.

Risk assessment is fundamental to a comprehensive risk management program. Risk management, in turn, provides information for policy-makers participating in the overall decision-making process, which also uses other quantitative and nonquantitative information. As discussed in the seminal S.

Kaplan and B. Garrick paper, “On the. Wu et al. () stressed that credit risk assessment is the basis of credit risk management in commercial banks and provides the basis for loan decision-making.

Furthermore, Angelini et al. () stressed that risk continues to provide a major threat to successful lending despite advancements in credit evaluation techniques and portfolio Cited by: Book Description.

Strategic Security Management, Second Edition provides security leadership and decision-makers with a fresh perspective on threat, vulnerability, and risk assessment. The book offers a framework to look at applying security analysis and theory into practice for effective security program, implementation, management and evaluation.

In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment.

We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by.