Borovkov, K. A. <br/><br/>
Elements of stochastic modelling / 
 Stochastic modelling 
K. Borovkov. 
 - xiii, 342 pages :  illustrations ;  24 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Introduction --  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.  1.  2.  3.  4.  5.  6.  7.  8.  9.  10. 
<br/><br/> "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 JACKET. 
<br/><br/><label>ISBN: </label>981238300X 9789812383006 9812383018 9789812383013 
<br/><br/><label>LCCN: </label>2005299350 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Stochastic processes.<br/>Mathematical models<br/>Computer simulation.
<br/><br/><label>LC Class. No.: </label>QA274  / .B655 2003 
<br/><br/><label>Dewey Class. No.: </label>519.23