Elements of Stochastic Modeling — Introductory Paperback Text

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by Borovkov K (Author)

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, jump Markov 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 specialised texts containing both proofs and more advanced material related to the topics covered.

Number of Pages: 356 Dimensions: 0.8 x 8.9 x 6 IN Publication Date: February 01, 2003

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