Monte Carlo simulation is one of the best tools for performing
realistic analysis of complex systems as it allows most of the
limiting assumptions on system behavior to be relaxed. The Monte
Carlo Simulation Method for System Reliability and Risk Analysis
comprehensively illustrates the Monte Carlo simulation method and
its application to reliability and system engineering. Readers are
given a sound understanding of the fundamentals of Monte Carlo
sampling and simulation and its application for realistic system
modeling. Whilst many of the topics rely on a high-level
understanding of calculus, probability and statistics, simple
academic examples will be provided in support to the explanation of
the theoretical foundations to facilitate comprehension of the
subject matter. Case studies will be introduced to provide the
practical value of the most advanced techniques. This detailed
approach makes The Monte Carlo Simulation Method for System
Reliability and Risk Analysis a key reference for senior
undergraduate and graduate students as well as researchers and
practitioners. It provides a powerful tool for all those involved
in system analysis for reliability, maintenance and risk
evaluations.
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