ABSTRACT

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly prescriptive, with little justification for the steps of the algorithms u

chapter 1|66 pages

Markov Chain Structure and Models

chapter 2|30 pages

Regular Markov Chains

chapter 3|68 pages

Reducible Markov Chains

chapter 4|106 pages

A Markov Chain with Rewards (MCR)

chapter 5|152 pages

A Markov Decision Process (MDP)