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Evolved from the lectures of a recognized pioneer in developing the theory of reliability, this text provides a rigorous treatment of the required probability background for understanding reliability theory. It introduces statistical estimation theory and measures of system effectiveness and applies results of general continuous-time Markov chains to n-unit repairable systems. It also presents several methods for computing the transition probabilities matrix and shows how certain techniques can be applied to a range of reliability problems, including preventive maintenance. The text includes numerous examples and exercises, along with a solutions manual for qualifying instructors.
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