Skip to content
Register Sign in Wishlist

Understanding Probability

3rd Edition


  • Date Published: June 2012
  • availability: Available
  • format: Paperback
  • isbn: 9781107658561

£ 51.99

Add to cart Add to wishlist

Other available formats:

Request inspection copy

Lecturers may request a copy of this title for inspection

Product filter button
About the Authors
  • Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

    • Fascinating probability problems (Monty Hall, birthday surprise, lottery winners and more) explained in a way that anyone can understand
    • The author writes with wit and clarity, explaining mathematics in a unique informal style
    • This third edition now covers Bayesian inference, Markov chain Monte-Carlo simulation, Brownian motion and more
    Read more

    Reviews & endorsements

    'Henk Tijms - famous for his clear and profound work in applied probability - brings us another jewel. His book Understanding Probability combines outstanding pedagogy and thought provoking exercises to produce the best introductory text on the market.' Wayne Winston, Indiana University, Bloomington

    'This book distinguishes itself with its down-to-earth style. Covering a wide range of topics from probability, it is filled with real-world fun examples that vividly illustrate sophisticated theory with simplicity. This new expanded edition could now serve as an excellent introductory textbook on probability theory at the undergraduate and masters level.' Karl Sigman, Columbia University

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Edition: 3rd Edition
    • Date Published: June 2012
    • format: Paperback
    • isbn: 9781107658561
    • length: 574 pages
    • dimensions: 226 x 152 x 33 mm
    • weight: 0.9kg
    • contains: 60 b/w illus. 520 exercises
    • availability: Available
  • Table of Contents

    Part I. Probability in Action:
    1. Probability questions
    2. The law of large numbers and simulation
    3. Probabilities in everyday life
    4. Rare events and lotteries
    5. Probability and statistics
    6. Chance trees and Bayes' rule
    Part II. Essentials of Probability:
    7. Foundations of probability theory
    8. Conditional probability and Bayes
    9. Basic rules for discrete random variables
    10. Continuous random variables
    11. Jointly distributed random variables
    12. Multivariate normal distribution
    13. Conditioning by random variables
    14. Generating functions
    15. Discrete-time Markov chains
    16. Continuous-time Markov chains
    Counting methods and ex
    Recommended reading
    Answers to odd-numbered problems

  • Resources for

    Understanding Probability

    Henk Tijms

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact

  • Author

    Henk Tijms, Vrije Universiteit, Amsterdam
    Henk Tijms is Emeritus Professor at Vrije University in Amsterdam. He is the author of several textbooks and numerous papers on applied probability and stochastic optimization. In 2008 Henk Tijms received the prestigious INFORMS Expository Writing Award for his publications and books.

Related Books

also by this author

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.