Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Kishor S. Trivedi is a Professor of Electrical and Computer Engineering at Duke University, North Carolina, and a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a recipient of the IEEE Computer Society's Technical Achievement Award.
Andrea Bobbio is Professor of Computer Science in the Dipartimento di Scienze e Innovazione Tecnologica at the Università degli Studi del Piemonte Orientale, Italy, and a senior member of Institute of Electrical and Electronics Engineers (IEEE).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science. Covering both classical and advanced approaches, this comprehensive text describes the techniques used for evaluating the reliability of engineered systems. Including numerous examples, case studies and practice problems, it is the ideal self-study guide for students, researchers and practitioners in engineering and computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781107099500
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