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Probability and Random Processes
This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic probability and important random processes, covering a range of important topics. Emphasis is on modelling rather than abstraction and there are new sections on sampling and Markov chain Monte Carlo, renewal-reward, queueing networks, sto...more
Paperback, 608 pages
Published
August 2nd 2001
by Oxford University Press, USA
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Our book for MATH 3220 -- Honors Probability and Statistics. While it's just as poorly written as any other undergraduate stochastics book, it's at least got very thorough coverage and a basis in rigorous measure theory. If you're not using measure theory, you're not doing probability, and should slowly back away from the model until you've integrated the Lebesgue into your gestalt.
the best intro graduate level text i know on probability (and it's not really that great).
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