Stochastic Processes and Models

Author:   David Stirzaker (, Oxford University)
Publisher:   Oxford University Press
ISBN:  

9780198568148


Pages:   342
Publication Date:   21 July 2005
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Stochastic Processes and Models


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Overview

Stochastic Processes and Models provides a concise and lucid introduction to simple stochastic processes and models. Including numerous exercises, problems and solutions, it covers the key concepts and tools, in particular: random walks, renewals, Markov chains, martingales, the Wiener process model for Brownian motion, and diffusion processes, concluding with a brief account of the stochastic integral and stochastic differential equations as they arise in option-pricing. The text has been thoroughly class-tested and is ideal for an undergraduate second course in probability.

Full Product Details

Author:   David Stirzaker (, Oxford University)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 17.20cm , Height: 2.00cm , Length: 24.50cm
Weight:   0.595kg
ISBN:  

9780198568148


ISBN 10:   0198568142
Pages:   342
Publication Date:   21 July 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Probability and Random Variables Introduction to Stochastic Processes Markov Chains Markov Chains in Continuous Time Diffusions Hints and solutions to selected exercises

Reviews

`...the author has indeed produced a very good textbook...the book or any of its chapters can be strongly recommended to any university with a modern probability programme...'' Alexander Veretennikov, Bulletin of the London Mathematical Society, `Strongly recommended to students and their teachers' Jordan Stoyanov, JRSSA `The book has an efficient writing style that is rarely found in mathematical textbooks; it is concise without being terse...Stochastic Processes and Models is an excellent foundational text both for grounding application orientated students in some basic theory and building intuition for those students interested in more advanced study in probability theory.' John Fricks, Pennsylvania State University, USA, JASA, 2007 `This excellent introductory book on simple stochastic processes and models is designed for readers familiar with ideas of elementary probability theory.' Ilya Pavlyukevitch, Zentralblatt Math, Vol 1084


The book has an efficient writing style that is rarely found in mathematical textbooks; it is concise without being terse...Stochastic Processes and Models is an excellent foundational text both for grounding application orientated students in some basic theory and building intuition for those students interested in more advanced study in probability theory. John Fricks, Pennsylvania State University, USA, JASA, 2007, No.477, Page 389 This excellent introductory book on simple stochastic processes and models is designed for readers familiar with ideas of elementary probability theory. Ilya Pavlyukevitch


...the author has indeed produced a very good textbook...the book or any of its chapters can be strongly recommended to any university with a modern probability programme...' Alexander Veretennikov, Bulletin of the London Mathematical Society, Strongly recommended to students and their teachers Jordan Stoyanov, JRSSA The book has an efficient writing style that is rarely found in mathematical textbooks; it is concise without being terse...Stochastic Processes and Models is an excellent foundational text both for grounding application orientated students in some basic theory and building intuition for those students interested in more advanced study in probability theory. John Fricks, Pennsylvania State University, USA, JASA, 2007 This excellent introductory book on simple stochastic processes and models is designed for readers familiar with ideas of elementary probability theory. Ilya Pavlyukevitch, Zentralblatt Math, Vol 1084


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