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Elementary Probability for Applications

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About the Authors
  • 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.

    • Over 350 exercises and 200 examples
    • Can be used by students who do not know much calculus
    • Covers Markov chains
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    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 Irvine

    "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

    "Highly recommended."
    W. Van Arsdale, CHOICE

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    Product details

    • Date Published: November 2009
    • format: Adobe eBook Reader
    • isbn: 9780511601798
    • contains: 55 b/w illus. 80 tables 355 exercises
    • availability: Adobe Reader ebooks available from eBooks.com
  • Table of Contents

    1. Basic concepts
    2. Combinatorial probability
    3. Conditional probability
    4. Markov chains
    5. Continuous distributions
    6. Limit theorems
    7. Option pricing.

  • Resources for

    Elementary Probability for Applications

    Rick Durrett

    General Resources

    Welcome to the resources site

    Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.

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    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Instructors have used or reviewed this title for the following courses

    • Advanced Probability
    • An Introduction to Probability
    • Applied probability and statistics
    • Basic Probability
    • Decision and Risk Analysis
    • Element of Statistics
    • Elementary Probability
    • Honors Math
    • Intermediate Quantitative Methods
    • Introduction to Probability
    • Introduction to Probability Theory
    • Introduction to Probability and Matrices
    • Introduction to Probability and Random Processes
    • Introduction to Probability and Statistics
    • Introduction to Statistics
    • Judgment, Uncertainty and Decisions
    • Mathematical Probability
    • Operation Research
    • Probabilistic Methods in Electrical Engineering
    • Probabilistic Models for Operations Research
    • Probability Methods
    • Probability Models for Decision Making
    • Probability Theory
    • Probability and Mathematical Statistics
    • Probability and Random Processes
    • Probability and Statistics for Engineers
    • Probability and Stochastic Processes
    • Probability for Applications
    • Probability for Engineers
    • Random Processes
    • Random Processing in Engineering
    • Random Signal Analysis
    • Random Signals and Statistics
    • Signals and Systems
    • Stat ll / Advanced Probability
    • Stochastic Modelling
    • Stochastic Models for Computer Science
    • Theory of Gambling & Risk
    • Theory of Probability
  • Author

    Rick Durrett, Duke University, North Carolina
    Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. After nine years at UCLA, he came to Cornell University in 1985, where he is a professor of mathematics. He is the author of 8 books and more than 170 journal articles on a wide variety of topics, and he has supervised more than 40 Ph.D. students. He is a member of the National Academy of Science, American Academy of Arts and Sciences, and a Fellow of the Institute of Mathematical Statistics.

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