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Can I read The Monte Carlo Simulation Method for System Reliability and Risk Analysis Springer Series in Reliability Engineering on EtoBox?

The Monte Carlo Simulation Method for System Reliability and Risk Analysis Springer Series in Reliability Engineering by Enrico Zio (auth.) is a nonfiction available to read on EtoBox.

What is The Monte Carlo Simulation Method for System Reliability and Risk Analysis Springer Series in Reliability Engineering about?

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 r

Who reads The Monte Carlo Simulation Method for System Reliability and Risk Analysis Springer Series in Reliability Engineering?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Enrico Zio (auth.)
Publisher
Springer-Verlag London
Published
2013
Language
EN
ISBN
9781447159018
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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