Basics of Applied Stochastic Processes

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This volume provides an in-depth exploration of stochastic processes, including Markov chains, Poisson processes, and Brownian motion. It emphasizes equilibrium distributions, strong laws of large numbers, and central limit theorems. The book features extensive examples and exercises on modeling systems and analyzing performance measures. It balances introductory and advanced technical content.