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
