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

Description

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

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Table of Contents


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

Appendices
Index

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