Overview
- Five new chapters
- Treatment of the basic principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform methodology and terminology with a practical orientation towards both engineering and economics, for the first time in book form
- Clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index
- More than a hundred illustrations and tables which motivate the presentation
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 20)
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Table of contents (23 chapters)
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Front Matter
Keywords
About this book
The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE). It considers the risk LP-models in classification, investment, management of companies, bribes and corruption, analysis of risk and efficiency of social and economical processes, and management of development.
Key features of this Second Edition:
-Five new chapters
-Treatment of the basic principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform methodology and terminology with a practical orientation towards both engineering and economics, for the first time in book form
-Clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index
-More than a hundred illustrations and tables which motivate the presentation
Specialists in risk management in economics, banking and business, as well as graduates and post-graduates in economics and engineering, will benefit from this book.
Reviews
From the reviews of the second edition:
"The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management … . the book is intended for experts in the field of risk management in business, technical, economic and organisational systems at the stages of design, test, debug and operation. Students, postgraduate students and teachers in economics and engineering fields may also benefit from this book." (Vangelis Grigoroudis, Zentralblatt MATH, Vol. 1156, 2009)
Authors and Affiliations
Bibliographic Information
Book Title: Scenario Logic and Probabilistic Management of Risk in Business and Engineering
Authors: Evgueni D. Solojentsev
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-77946-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-77945-4Published: 26 November 2008
Softcover ISBN: 978-1-4419-4608-9Published: 08 December 2010
eBook ISBN: 978-0-387-77946-1Published: 10 December 2008
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 2
Number of Pages: XXX, 450
Number of Illustrations: 118 b/w illustrations
Additional Information: Originally published as volume 93 in the series: Applied Optimization
Topics: Business and Management, general, Quantitative Finance, Econometrics, Mathematical Logic and Foundations, Probability Theory and Stochastic Processes