Elements Of Stochastic Modelling
Author:   Konstantin Borovkov (The Univ Of Melbourne, Australia)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789812383006


Pages:   356
Publication Date:   04 March 2003
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Elements Of Stochastic Modelling


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Overview

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.

Full Product Details

Author:   Konstantin Borovkov (The Univ Of Melbourne, Australia)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 16.10cm , Height: 2.30cm , Length: 23.00cm
Weight:   0.621kg
ISBN:  

9789812383006


ISBN 10:   981238300
Pages:   356
Publication Date:   04 March 2003
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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


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


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