SCENARIO LOGIC AND PROBABILISTIC MANAGEMENT OF RISK IN BUSINESS AND ENGINEERING (HB)

SOLOJENTSEV D.

ISBN 10: 1402029772 / ISBN 13: 9781402029776

Editore: SPRINGER, 2004

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Dati bibliografici

• Titolo: SCENARIO LOGIC AND PROBABILISTIC MANAGEMENT OF RISK IN BUSINESS AND ENGINEERING (HB)
• Editore: SPRINGER
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 1402029772
• ISBN 13: 9781402029776
• Rilegatura: Rilegato
• Condizione: Brand New

Descrizione articolo

Riassunto

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 are described too.
This volume is intended for experts and scientists in the area of the risk in business and engineering, in problems of classification, investment and effectiveness, and post-graduates in those subject areas.

Dalla quarta di copertina

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 are described too.

Audience

This volume is intended for experts and scientists in the area of the risk in business and engineering, in problems of classification, investment and effectiveness, and post-graduates in those subject areas.