Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3639277503 ISBN 13: 9783639277500
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 168.
Da: preigu, Osnabrück, Germania
EUR 57,95
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hierarchical Risk Analysis of Complex Systems | Methodologies and Applications | Zhenyu Yan | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639277500 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 144,28
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yan ZhenyuZhenyu Yan is a Lead Scientist of Research at FICO. His current research focuses on consumer credit risk analysis. He received the Ph.D. degree in Systems Engineering from the University of Virginia in 2007. He is a memb.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3639277503 ISBN 13: 9783639277500
Da: Majestic Books, Hounslow, Regno Unito
EUR 106,33
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 168 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3639277503 ISBN 13: 9783639277500
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 108,43
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 168.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,82
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Complex systems (e.g., infrastructure systems, economic systems, information systems) are usually exposed to various risks, including internal failures, natural disasters, and willful attacks. The risks, if not properly managed, may lead to systems unavailability, unfunctionality, and even to catastrophic events. Thus effectively accessing and managing the risks are essential to complex systems management. Hierarchical analysis (HA) is a fundamental methodology for complex systems analysis. This book for the first time discusses, compares, and integrates two branches (i.e., statistics and optimization) of HA and applied it to solve some critical problems in risk assessment and management of complex systems. The proposed methods are illustrated through case studies in various fields, including airport safety, cyber security, hurricane preparedness and etc. The target audiences are graduate students, researchers and practitioners working in the areas of engineering, applied mathematics, applied statistics, computer science, management science, and operations research and interested in risk analysis.