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.
By:
Konstantin Borovkov (The Univ Of Melbourne Australia) Imprint: World Scientific Country of Publication: Singapore Dimensions:
Height: 230mm,
Width: 152mm,
Spine: 20mm
Weight: 499g ISBN:9789812383013 ISBN 10: 9812383018 Pages: 356 Publication Date:04 March 2003 Audience:
College/higher education
,
Professional and scholarly
,
Professional & Vocational
,
A / AS level
,
Further / Higher Education
Format:Hardback Publisher's Status: Unspecified
Reviews for Elements Of Stochastic Modelling
".,."" carefully selected topics from the area of stochastic modelling all presented in a master way.?"