Risk - A Multidisciplinary Introduction

Risk - A Multidisciplinary Introduction edited by Claudia Klüppelberg, Daniel Straub, Isabell M. Welpe.

This is a unique book addressing the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and contributes to the development of risk management methodologies. Book chapters explain funda...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Klüppelberg, Claudia (Editor), Straub, Daniel (Editor), Welpe, Isabell M. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Quality control.
Reliability.
Industrial safety.
User interfaces (Computer systems).
Climate change.
Natural disasters.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Part One. Risk in History and Science: Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions
  • Lütge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor
  • Straub, D., Welpe, I.: Decision-making under risk: a normative and behavioral perspective
  • Mainzer, K.: The new role of mathematical modelling and its importance for society
  • Part Two. Quantitative Risk Methodology: Biagini, F. , Meyer-Brandis, T. and Svindland, G. :The mathematical concept of risk
  • Fasen, V., Klüppelberg, C., Menzel, A.: Quantifying extreme event risk. Schön, C.-C. and Wimmer, V.: Statistical models for the prediction of genetic values
  • Brechmann, E. and Czado, C.: Bayesian risk analysis
  • Klüppelberg, C., Stelzer, R.: Dealing with dependent risks
  • Bannör, K. and Scherer, M.: Model risk and uncertainty; illustrated with examples from Mathematical finance
  • Part Three. Risk Treatment in Various Applications: Roosen, J.: Cost-benefit analysis
  • Straub, D.: Engineering risk assessment
  • Vogel-Heuser, B.: Integrated modeling of complex production automation systems to increase dependability
  • Wiesche, M., Hörmann, S., Schermann, M., Krcmar. H.: Information technology risks: an interdisciplinary challenge
  • Klinker, G.: Risks in developing novel user interfaces for Human-Computer interaction
  • Ankerst, D., Seifert-Klauss, V., Kiechle, M.: Translational risk models
  • Seifert-Klauss, V., Thümer, L., Protzer, U.: Risk reduction of cervical cancer through HPV screening and vaccination – assumptions and reality.

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