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Understanding Probability
Chance Rules in Everyday Life

2nd Edition

$38.00 USD

  • Date Published: December 2007
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511346262

$ 38.00 USD
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About the Authors
  • 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.

    • Fascinating probability problems (Monty Hall, birthday surprise, lottery winners, and more) explained in a way that anyone can understand
    • Written with wit and clarity, this book offers a unique informal style to explain mathematics
    • This fully revised second edition now covers all material usually taught in an introductory probability course, with many more examples and exercises in almost every chapter
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    Reviews & endorsements

    'This book is eminently suitable for students undertaking a first course in probability. It would be particularly useful for service teaching where students are not aiming for a degree classification in mathematics or statistics.' Significance

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    Product details

    • Edition: 2nd Edition
    • Date Published: December 2007
    • format: Adobe eBook Reader
    • isbn: 9780511346262
    • contains: 42 b/w illus. 22 tables 400 exercises
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Preface
    Introduction
    Part I. Probability in Action:
    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
    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. Conditional distributions
    14. Generating functions
    15. Markov chains
    Appendix
    Recommended readings
    Answers to odd-numbered problems
    Bibliography.

  • Author

    Henk Tijms, Vrije Universiteit, Amsterdam
    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.

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