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Applied Reliability Engineering and Risk Analysis - Probabilistic Models and Statistical Inference (Hardcover, New)
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Applied Reliability Engineering and Risk Analysis - Probabilistic Models and Statistical Inference (Hardcover, New)
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This complete resource on the theory and applications of
reliability engineering, probabilistic models and risk analysis
consolidates all the latest research, presenting the most
up-to-date developments in this field. With comprehensive coverage
of the theoretical and practical issues of both classic and modern
topics, it also provides a unique commemoration to the centennial
of the birth of Boris Gnedenko, one of the most prominent
reliability scientists of the twentieth century. Key features
include: * expert treatment of probabilistic models and statistical
inference from leading scientists, researchers and practitioners in
their respective reliability fields * detailed coverage of
multi-state system reliability, maintenance models, statistical
inference in reliability, systemability, physics of failures and
reliability demonstration * many examples and engineering case
studies to illustrate the theoretical results and their practical
applications in industry Applied Reliability Engineering and Risk
Analysis is one of the first works to treat the important areas of
degradation analysis, multi-state system reliability, networks and
large-scale systems in one comprehensive volume. It is an essential
reference for engineers and scientists involved in reliability
analysis, applied probability and statistics, reliability
engineering and maintenance, logistics, and quality control. It is
also a useful resource for graduate students specialising in
reliability analysis and applied probability and statistics.
Dedicated to the Centennial of the birth of Boris Gnedenko,
renowned Russian mathematician and reliability theorist
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