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OverviewThis 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. Full Product DetailsAuthor: Geoffrey Grimmett (Statistical Laboratory, University of Cambridge) , David Stirzaker (Mathematical Institute, University of Oxford)Publisher: Oxford University Press Imprint: Oxford University Press Edition: 2nd Revised edition Dimensions: Width: 16.80cm , Height: 2.40cm , Length: 23.80cm Weight: 0.709kg ISBN: 9780198572213ISBN 10: 0198572212 Pages: 448 Publication Date: 24 May 2001 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Print Availability: Out of stock ![]() Table of Contents1: Events and their probabilities 2: Random variables and their distribution 3: Discrete randon variables 4: Continuous random variables 5: Generating functions and their applications 6: Markov chains 7: Convergence of random variables 8: Random processes 9: Stationary processes 10: Renewals 11: Queues 12: Martingales 13: Diffusion processes Table of distributions Bibliography IndexReviewsA useful source of exercises and problems from probability theory and random process. I have read it with great pleasure and can recommend it to students and teachers. EMS Author InformationTab Content 6Author Website:Countries AvailableAll regions |