Tijms, H. C.
New York : Cambridge University Press, 2012.
Added to CLICnet on 02/18/2014

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Notes:

• 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 — Provided by publisher.
• Includes bibliographical references (p. 556-557) and index.
• Part I. Probability in Action: 1. Probability questions 2. 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 — Appendix Counting methods and ex.

Subjects:

• Probabilities.
• Mathematical analysis.
• Chance.
• MATHEMATICS / Probability & Statistics / General bisacsh

Requested by Bloomberg, M