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Probability: A Lively Introduction

$44.99 (X)

textbook Award Winner
  • Date Published: October 2017
  • availability: In stock
  • format: Paperback
  • isbn: 9781108407847

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About the Authors
  • Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right. This engaging textbook with its easy-to-follow writing style provides a comprehensive yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard texts, such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.

    • Stresses why probability is so relevant and how to apply it - students won't simply learn probability, they will understand it
    • Perfectly balances theory and applications - the fundamental concepts are explained with engaging real-world examples and many problem-solving tips are provided
    • Includes more than 750 problems with detailed solutions of the odd-numbered problems - students will build up confidence in their own problem-solving skills
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    Awards

    • Winner, 2018 Choice Outstanding Academic Title

    Reviews & endorsements

    'This is an attractive textbook for an introductory probability course at the upper undergraduate level. It covers not only the standard material for such a course (discrete probability, the axioms of probability, conditional probability, discrete and continuous random variables, jointly distributed random variables, limit theorems, Markov chains, etc.) but also some topics that might be considered more unusual, such as Kelly betting, renewal-reward stochastic processes, and the law of iterated logarithms. Topics from statistics (confidence intervals, Student-t distribution, Baysian inference, etc.) also appear. The book is quite well-written, nicely motivated, demonstrates considerable enthusiasm for the material, and gives lots of examples of the usefulness of probability. Mark Hunacek, MAA Reviews

    As with its predecessor, Probability: A Lively Introduction has an engaging and sympathetic tone which will be welcomed by those wrestling with this endlessly fascinating but tricky subject. Robert A. J. Matthews, Significance

    'This text serves as an excellent introduction to probability theory. Tijms has achieved the difficult feat of writing a book that is useful as both a textbook and a reference resource. As he wisely points out in the introduction, a key step in attracting students' attention to this field is providing clear, natural examples. In this book, every chapter is full of such examples. Besides covering the topics expected in an entry-level book, the author also covers multivariate normal distributions and the chi-square test, generating functions, and Markov chains (both the discrete time and the continuous time cases). Many students will appreciate the four appendixes at the end of the book. The first three contain the necessary background in enumerative combinatorics, set theory, and calculus, and make the book even more widely accessible in doing so. The fourth appendix introduces a more advanced concept, Monte Carlo simulations. There are plenty of excellent exercises in each chapter, half of which come with detailed solutions (not just numerical answers).' M. Bona, Choice

    'In this book, Henk Tijms aims at sharing his passion and enthusiasm for the fascinating world of probability with his readers. I can only say that he convincingly succeeded to do so!' Ivo Adan, European Journal of Operational Research

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    Product details

    • Date Published: October 2017
    • format: Paperback
    • isbn: 9781108407847
    • length: 546 pages
    • dimensions: 228 x 152 x 24 mm
    • weight: 0.88kg
    • contains: 37 b/w illus.
    • availability: In stock
  • Table of Contents

    1. Foundations of probability theory
    2. Conditional probability
    3. Discrete random variables
    4. Continuous random variables
    5. Jointly distributed random variables
    6. Multivariate normal distribution
    7. Conditioning by random variables
    8. Generating functions
    9. Additional topics in probability
    10. Discrete-time Markov chains
    11. Continuous-time Markov chains.

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    Probability: A Lively Introduction

    Henk Tijms

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  • Author

    Henk Tijms, Vrije Universiteit, Amsterdam
    Henk Tijms is emeritus professor at the Vrije University, Amsterdam. He is the author of several textbooks and numerous papers on applied probability and stochastic optimization. In 2008, Henk Tijms received the prestigious INFORMS Expository Writing Award for his publications and books. His activities also include the popularization of probability to high school students and the general public; he also regularly contributed to the Numberplay blog of the New York Times with probability puzzles.

    Awards

    • Winner, 2018 Choice Outstanding Academic Title

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