Understanding probability

"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...

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Bibliographic Details
Main Author: Tijms, H. C. , 1944- (Author)
Format: Book
Language:English
Published: Cambridge : Cambridge University Press , 2012
Edition:3rd ed
Subjects:

MARC

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020 |a 110765856X (paperback : alk. paper) 
020 |a 9781107658561 (paperback : alk. paper) 
050 0 0 |a QA273   |b .T55 2012 
090 0 0 |a QA273   |b .T55 2012 
100 1 |a Tijms, H. C. ,   |d 1944- ,   |e author 
245 1 0 |a Understanding probability   |c Henk Tijms 
250 |a 3rd ed 
260 |a Cambridge :   |b Cambridge University Press ,   |c 2012 
300 |a x, 562 p. :   |b ill. ;   |c 23 cm. 
504 |a Includes bibliographical references (p. 556-557) and index 
505 0 |a 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 -- 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 
520 |a "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 
650 0 |a Chance 
650 0 |a Mathematical analysis 
650 0 |a Probabilities 
999 |a 1000158858   |b Book   |c OPEN SHELF (30 DAYS)   |e Gong Badak Campus