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Understanding Probability: Chance Rules in Everyday Life Paperback - 2004
by Henk Tijms
Summary
In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. This second edition has wider coverage, more explanations and examples and exercises, and a new chapter introducing Markov chains, making it a great choice for a first probability course. But its easy-going style makes it just as valuable if you want to learn about the subject on your own, and high school algebra is really all the mathematical background you need.
First line
In this chapter, we provide a number of probability problems that challenge the reader to test his or her feeling for probabilities.
Details
- Title Understanding Probability: Chance Rules in Everyday Life
- Author Henk Tijms
- Binding Paperback
- Edition First Paperback
- Pages 390
- Volumes 1
- Language ENG
- Publisher Cambridge University Press, New York
- Date August 16, 2004
- Illustrated Yes
- ISBN 9780521540360 / 0521540364
- Weight 1.15 lbs (0.52 kg)
- Dimensions 9 x 6.06 x 0.94 in (22.86 x 15.39 x 2.39 cm)
- Library of Congress subjects Probabilities, Mathematical analysis
- Library of Congress Catalog Number 2004040787
- Dewey Decimal Code 519.2
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UNDERSTANDING PROBABILITY CHANCE RULES IN EVERYDAY LIFE (PB 2005)
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ISBN: 9780521540360CAMBRIDGE UNIVERSITY PRESS | 16 August 2004
Paperback | 390 pages
Like it or not, chance plays a big part in our lives. Every day we face situations where the result is uncertain, and, perhaps without realizing it, we guess about the likelihood of one outcome or another. Fortunately, mastering the concepts of probability can cast new light on situations where randomness and chance appear to rule. In this book, which uses lotteries and casino games to provide the many illustrative examples, the reader can learn about the world of probability. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. Written with wit and clarity, this book can be read easily by anyone who is not put off by a few numbers and some high-school algebra. It is also ideally suited to students of all disciplines taking their first course in probability.
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