Applied Probability Models with Optimization Applications – Sheldon M. Ross – 2nd Edition


Concise advanced-level introduction to stochastic that frequently arise in applied . Largely self-contained text covers Poisson , renewal theory, Markov chains, inventory theory, Brownian motion and continuous time models, much more. and references at chapter ends. “Excellent introduction.”

Table of Content

1. Introduction to stochastic processes
2. The poisson rpcess
3. Renewal theory
4. Markov chains
5. "semi-markov, markov renewal and regernerative processes"
6. Markov decision processes
7. Semi-markov decision processes
8. Inventory theory
9. Brownian motion and continuous time optimization models


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