Mardigian Library
Ask a QuestionMy Library Account
Search Library Catalog - Books, DVDs & More
Limit to available
More Searches
   
Limit results to available items
Find more results:
Search MelCat
More Information
  
Tijms, H. C
Understanding probability / Henk Tijms
3rd ed
Cambridge, UK ; New York : Cambridge University Press, 2012
book jacket
Location Call Number Status
 4th Floor  QA273 .T48 2012    DUE 09-15-14
Subject(s) Probabilities
Mathematical analysis
Chance
Physical Description x, 562 p. : ill. ; 23 cm
Summary "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
Note Includes bibliographical references and index
Contents 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
NOTE 516003

Mardigian Library, 4901 Evergreen Rd.
Dearborn, MI 48128-1491 313-593-5400 fax 313-593-5561
ask-a-question@umd.umich.edu
The Regents of the University of Michigan | Non-Discrimination Policy
Copyright © The University of Michigan - Dearborn • 4901 Evergreen Road • Dearborn, Michigan 48128 • 313-593-5000
The University of Michigan - Ann Arbor | The University of Michigan - Flint | SITEMAP | DIRECTORY | CONTACT