Markov Chains and Decision Processes for Engineers and Managers

✍ Scribed by Theodore J. Sheskin (Author)

Publisher: CRC Press
Year: 2011
Leaves: 478
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

Markov Chain Structure and Models. Regular Markov Chains. Reducible Markov Chains. A Markov Chain with Rewards (MCR). A Markov Decision Process (MDP). Special Topics: State Reduction and Hidden Markov Chains. Index.

✦ Subjects

Engineering & Technology;Industrial Engineering & Manufacturing;Operations Research;Production Systems;Mathematics & Statistics;Statistics & Probability;Probability;Probability Theory & Applications

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