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Risk -- a multidisciplinary introduction

Author: Claudia Klüppelberg; D Straub; Isabell Welpe
Publisher: Cham ; New York : Springer, [2014] ©2014
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and  Read more...
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Additional Physical Format: Electronic reproduction of (manifestation):
Risk -- a multidisciplinary introduction.
Cham ; New York : Springer, [2014]
(OCoLC)866799791
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Claudia Klüppelberg; D Straub; Isabell Welpe
ISBN: 9783319044866 3319044869
OCLC Number: 878969487
Notes: "This is a unique book addressing the integration of risk methodology from various fields. ... Book chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, health sciences, life sciences, engineering and information science."--Back cover.
Description: 1 online resource (x, 476 pages) : illustrations (some color)
Contents: Introduction --
Part I. Risk in History and Science: 1. Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions --
2. Lütge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor --
3. Straub, D., Welpe, I.: Decision-making under risk: a normative and behavioral perspective --
4. Mainzer, K.: The new role of mathematical modelling and its importance for society --
Part II. Quantitative Risk Methodology: 5. Biagini, F., Meyer-Brandis, T. and Svindland, G. :The mathematical concept of risk --
6. Fasen, V., Klüppelberg, C., Menzel, A.: Quantifying extreme event risk. 7. Schön, C.-C. and Wimmer, V.: Statistical models for the prediction of genetic values --
8. Brechmann, E. and Czado, C.: Bayesian risk analysis --
9. Klüppelberg, C., Stelzer, R.: Dealing with dependent risks --
10. Bannör, K. and Scherer, M.: Model risk and uncertainty; illustrated with examples from Mathematical finance --
Part III. Risk Treatment in Various Applications: 11. Roosen, J.: Cost-benefit analysis --
12. Straub, D.: Engineering risk assessment --
13. Vogel-Heuser, B.: Integrated modeling of complex production automation systems to increase dependability --
14. Wiesche, M., Hörmann, S., Schermann, M., Krcmar. H.: Informationtechnology risks: an interdisciplinary challenge --
15. Klinker, G.: Risks in developing novel user interfaces for Human-Computer interaction --
16. Ankerst, D., Seifert-Klauss, V., Kiechle, M.: Translational risk models --
17. Seifert-Klauss, V., Thümer, L., Protzer, U.: Risk reduction of cervical cancer through HPV screening and vaccination --
assumptions and reality.
Responsibility: Claudia Klüppelberg, Daniel Straub, Isabell M. Welpe, editors.

Abstract:

This book addresses the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and  Read more...

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