Rick DurrettCambridge University Press, 7/31/2009EAN 9780521867566, ISBN10: 0521867568Hardcover, 254 pages, 25.5 x 19.5 x 1.8 cmLanguage: EnglishThis clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.1. Basic concepts2. Combinatorial probability3. Conditional probability4. Markov chains5. Continuous distributions6. Limit theorems7. Option pricing.
