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Understanding Probability

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ISBN-10: 110765856X

ISBN-13: 9781107658561

Edition: 3rd 2012

Authors: Henk Tijms

List price: $62.95
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Description:

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…    
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Book details

List price: $62.95
Edition: 3rd
Copyright year: 2012
Publisher: Cambridge University Press
Publication date: 6/14/2012
Binding: Paperback
Pages: 574
Size: 6.00" wide x 8.75" long x 1.25" tall
Weight: 1.980
Language: English

Henk Tijms is Professor of Operations Research at the Vrije University in Amsterdam. The author of several textbooks, including A First Course in Stochastic Models, he is intensively active in the popularization of applied mathematics and probability in Dutch high schools. He has also written numerous papers on applied probability and stochastic optimization for international journals, including Applied Probability and Probability in the Engineering and International Sciences.

Preface
Introduction
Probability in Action
Probability questions
The law of large numbers and simulation
Probabilities in everyday life
Rare events and lotteries
Probability and statistics
Chance trees and Bayes' rule
Essentials of Probability
Foundations of probability theory
Conditional probability and Bayes
Basic rules for discrete random variables
Continuous random variables
Jointly distributed random variables
Multivariate normal distribution
Conditioning by random variables
Generating functions
Discrete-time Markov chains
Continuous-time Markov chains
Appendix
Counting methods and ex
Recommended reading
Answers to odd-numbered problems
Bibliography
Index