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Understanding probability : chance rules in everyday life / Henk Tijms.

By: Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2007.Edition: 2nd edDescription: x, 442 p. ; 23 cmISBN:
  • 9780521701723
Subject(s): DDC classification:
  • 519.2   22
Contents:
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 Foundations of probability theory Conditional probability and Bayes Basic rules for discrete random variables Continuous random variables Jointly distributed random variables Multivariate normal distribution Conditional distributions Generating functions Table of Contents provided by Publisher. All Rights Reserved.
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.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 519.2 / TI.U 2007 (Browse shelf(Opens below)) 1 Available 000608

Originally published: 2004.

Includes bibliographical references and index.

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 Foundations of probability theory Conditional probability and Bayes Basic rules for discrete random variables Continuous random variables Jointly distributed random variables Multivariate normal distribution Conditional distributions Generating functions Table of Contents provided by Publisher. All Rights Reserved.

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.

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