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Stochastic Processes - with Applications to Reliability Theory (Paperback, 2011 ed.)
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Stochastic Processes - with Applications to Reliability Theory (Paperback, 2011 ed.)
Series: Springer Series in Reliability Engineering
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Reliability theory is of fundamental importance for engineers and
managers involved in the manufacture of high-quality products and
the design of reliable systems. In order to make sense of the
theory, however, and to apply it to real systems, an understanding
of the basic stochastic processes is indispensable. As well as
providing readers with useful reliability studies and applications,
Stochastic Processes also gives a basic treatment of such
stochastic processes as: the Poisson process, the renewal process,
the Markov chain, the Markov process, and the Markov renewal
process. Many examples are cited from reliability models to show
the reader how to apply stochastic processes. Furthermore,
Stochastic Processes gives a simple introduction to other
stochastic processes such as the cumulative process, the Wiener
process, the Brownian motion and reliability applications.
Stochastic Processes is suitable for use as a reliability textbook
by advanced undergraduate and graduate students. It is also of
interest to researchers, engineers and managers who study or
practise reliability and maintenance.
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