Elements of Stochastic Modelling
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Book Overview This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of proba...
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.
Book Details Format: Paperback | Pages: 342 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9812383018
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