Overview
- The risk LP-theory has (1) almost two times higher accuracy and (2) seven times higher robustness (stability) in classification of credits than other well-known models of risks
- Includes supplementary material: sn.pub/extras
Part of the book series: Applied Optimization (APOP, volume 93)
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Table of contents (21 chapters)
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Front Matter
Keywords
About this book
In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered. The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management in problems of classification, investment and effectiveness are described. Risk LP- models and results of numerical investigations for credit risks, risk of frauds, security portfolio risk, risk of quality, accuracy, and risk in multi-stage systems reliability are given. In addition, a rather large number of new problems of estimation, analysis and management of risk are considered. Software for risk problems based on LP-methods, LP-theory, and GIE is described too.
Authors and Affiliations
Bibliographic Information
Book Title: Scenario Logic and Probabilistic Management of Risk in Business and Engineering
Authors: E. D. Solojentsev
Series Title: Applied Optimization
DOI: https://doi.org/10.1007/1-4020-2978-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2005
eBook ISBN: 978-1-4020-2978-3Published: 21 July 2006
Series ISSN: 1384-6485
Edition Number: 1
Number of Pages: XVI, 392
Number of Illustrations: 82 b/w illustrations
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Combinatorics, Mathematical Logic and Foundations