Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use from classical non-state and state space approaches to newer and more advanced methods such as binary decision diagrams dynamic fault trees Bayesian belief networks stochastic Petri nets non-homogeneous Markov chains semi-Markov processes and phase type expansions. Readers will quickly understand the relative pros and cons of each technique as well as how to combine different models together to address complex real-world modeling scenarios. Numerous examples case studies and problems provided throughout help readers put knowledge into practice and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students researchers and practitioners in engineering and computer science. Language: English