Readership: Introductory, intermediate and advanced courses in probability and random (stochastic) processes at undergraduate and postgraduate level
Geoffrey Grimmett, Statistical Laboratory, University of Cambridge, and David Stirzaker, Mathematical Institute, University of Oxford
"A 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
1: 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 Index