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.Read more
- 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
Reviews & endorsements
"If this review feels very enthusiastic, then indeed that is my intention. My own feelings on Understanding Probability are that it is an extremely useful book that makes probability understandable to a wide audience."
A. Jasra, Asia Pacific Mathematics NewsletterSee more reviews
"This is a very enjoyable introductory textbook on probability theory. As the author writes in a very reader-friendly style and the examples are exceptionally well chosen, students will find it difficult to stop reading the book. Essential."
M. Bona, University of Florida, Choice Magazine
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Edition: 3rd Edition
- Date Published: July 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
Answers to odd-numbered problems
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to instructors whose faculty status has been verified. To gain access to locked resources, instructors 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 instructors 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. Instructors 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 email@example.com.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×