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Probability and Statistics with Reliability, Queuing, and Computer Science Applications
"Probability and statistics with reliability, queueing, and computer science applications provides the rigorous mathematical foundation required to model, analyze, and optimize complex computing systems, communication networks, and industrial infrastructures. By integrating stochastic processes, statistical inference, failure-rate modeling, and queueing theory, engineers and researchers can predict system performance, evaluate fault tolerance, and make data-driven decisions under uncertainty. Introduction to Applied Probability and Stochastic Modeling in Systems Engineering Modern computing architectures, cloud data centers, and telecommunicat..."
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