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One Thousand Exercises in Probability

ISBN-10: 0198572212
ISBN-13: 9780198572213
Edition: 2nd 2001 (Revised)
List price: $74.00
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Description: This book is a revised, updated and greatly expanded version of the authors' "Probability and Random Processes: Problems and Solutions", first published in 1992. The 1000+ exercises contained within are not merely drill problems but have been chosen  More...

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Book details

List price: $74.00
Edition: 2nd
Copyright year: 2001
Publisher: Oxford University Press, Incorporated
Publication date: 8/2/2001
Binding: Paperback
Pages: 448
Size: 6.50" wide x 9.25" long x 1.00" tall
Weight: 1.738
Language: English

This book is a revised, updated and greatly expanded version of the authors' "Probability and Random Processes: Problems and Solutions", first published in 1992. The 1000+ exercises contained within are not merely drill problems but have been chosen to illustrate the concepts, illuminate the subject, and both inform and entertain the student. Topics cover a broad range of subjects, including: elementary aspects of probability and random variables; sampling; Markov chains; convergence; stationary processes; renewals; queues; Martingales; diffusion; mathematical finance and the Black-Scholes model. This text is intended for general use, and to serve students as a companion text for elementary, intermediate and advanced courses in probability and random processes. Useful for anyone needing a large source of problems in these areas and at all levels. This book also acts as a companion volume to the new edition of Probability and Random Processes 3/e, (OUP - 2001), providing the solutions for the problems and exercises.

David Stirzaker is Associate Professor in the Mathematical Institute at the University of Oxford and an Emeritus Research Fellow at St John's College, Oxford. His previous titles include Probability and Random Processes (with Geoffrey Grimmett, 2001) and Elementary Probability (Cambridge University Press, 2003).

Events and their probabilities
Random variables and their distribution
Discrete random variables
Continuous random variables
Generating functions and their applications
Markov chains
Convergence or fandom variables
Random processes
Stationary processes
Renewals
Queues
Martingales
Diffusion Processes
Table of Distributions
Bibliography
Index

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