Publisher Description

This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Rigorous proofs are often replaced with sketches of arguments - with indications as to why a particular result holds, and also how it is connected with other results - and illustrated by examples. Wherever possible, the book includes references to more specialized texts containing both proofs and more advanced material related to the topics covered.

Table of Contents

Basics of Probability Theory; Markov Chains; Markov Decision Processes; The Exponential Distribution and Poisson Process; Jump Markov Processes; Elements of Queueing Theory; Elements of Renewal Theory; Elements of Time Series; Elements of Simulation.

Review

.,." carefully selected topics from the area of stochastic modelling all presented in a master way.?

Review Quote

.,." carefully selected topics from the area of stochastic modelling all presented in a master way.'

Details