This is a thoroughly revised and expanded third edition of a
successful university textbook that provides a broad introduction
to key areas of stochastic modelling. The original text was
developed from lecture notes for a one-semester course for
third-year science and actuarial students at the University of
Melbourne.This book reviews the basics of probability theory and
presents topics on Markov chains, Markov decision processes, jump
Markov processes, elements of queueing theory, basic renewal
theory, elements of time series and simulation. It also features
elements of stochastic calculus and introductory mathematical
finance. Thus enhancing the book's suitability for a larger variety
of university courses presenting the fundamentals of modern
stochastic modelling.To make the text covering a lot of material
more appealing and accessible to the reader, instead of rigorous
proofs we often give only sketches of the arguments, with
indications as to why a particular result holds and also how it is
related to other results, and illustrate them by examples. It is in
this aspect that the present, third edition differs from the second
one: the included background material and argument sketches have
been extended, made more graphical and informative. The whole text
was reviewed and streamlined wherever possible for it to be more
attractive and useful for readers. Wherever possible, the book
includes references to more specialised texts on respective topics
that contain both proofs and more advanced material.
General
| Imprint: |
World Scientific Publishing Co Pte Ltd
|
| Country of origin: |
Singapore |
| Release date: |
2024 |
| Authors: |
Konstantin Borovkov
|
| Format: |
Paperback
|
| Pages: |
575 |
| ISBN-13: |
978-981-12-6944-8 |
| Categories: |
Books
|
| LSN: |
981-12-6944-0 |
| Barcode: |
9789811269448 |
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