This book has been designed for senior engineering, mathematics and systems science students. In addition, the author has used the optional, advanced sections as the basis for graduate courses in quality control and queueing. It is assumed that the students have taken a first course in probability but that some need a review. Discrete models are emphasized and examples have been chosen from the areas of quality control and telecommunications. The book provides correct, modern mathematical methods and at the same time conveys the excitement of real applications.

Contents:

• Modelling a Stochastic Process
• Variables and Limit Theorems
• The Poisson Process
• Markov Chains
• Renewal Theory
• Markov Processes
• Markov Decision Theory

“This thoughtful and well-written book provides future practitioners of applied probability with a 'modern and mathematically sound' introduction to the field.”