Elementary Probability for Applications
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- Author: Rick Durrett, Duke University, North Carolina
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This 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.Read more
- Over 350 exercises and 200 examples
- Can be used by students who do not know much calculus
- Covers Markov chains
Reviews & endorsements
"The book has a nice interplay between probability modeling and scientific applications, whether from biology, sports, or discussions of China's one-child policy. Many of the examples are thought provoking, including ones on DNA samples for paternity cases and others about the O.J. Simpson trial. As an instructor, I enjoy digging into these examples in class. And the large selection of interesting problems builds basic skills and deepens or extends the main ideas."
Professor Michael Phelan, University of California at IrvineSee more reviews
"While the topics covered are standard for any number of books, Durrett adds diversity, innovation, and plenty of exercises that are sure to captivate the reader and excite the student. Students and instructors alike will find the text both useful and very entertaining."
James Van Speybroeck, Computing Reviews
W. Van Arsdale, CHOICE
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- Date Published: November 2009
- format: Adobe eBook Reader
- isbn: 9780511601798
- contains: 55 b/w illus. 80 tables 355 exercises
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Basic concepts
2. Combinatorial probability
3. Conditional probability
4. Markov chains
5. Continuous distributions
6. Limit theorems
7. Option pricing.
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