Surprises in Probability

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A01=Henk Tijms
advanced probability case studies
Author_Henk Tijms
Bayesian
Benford Distribution
Benford's Law
Benford’s Law
Bernoulli
Birthday
Birthday Problem
casino
Category=PBT
Coin Toss Experiment
combinatorial probability problems
Consecutive Draws
Cumulative Probability Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Euler Number
Extrasensory Perception
Fibonacci
Follow
Holds
Jackpot
lottery
Markov Chain
mathematical modeling strategies
Monte Carlo
Monte Carlo Casino
Perfect Hands
Poisson Distribution
Poisson Probability
probability theory applications
Random Number Generators
random processes analysis
Relative Frequencies
risk
Roulette Wheel
Square Root Law
statistical inference methods
teaching probability concepts
Ticket Numbers
uncertainty
USA

Product details

  • ISBN 9780367000431
  • Weight: 181g
  • Dimensions: 138 x 216mm
  • Publication Date: 10 Sep 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This book brings together a variety of probability applications through entertaining stories that will appeal to a broad readership. What are the best stopping rules for the dating problem? What can Bayes’ formula tell us about the chances of a Champions League draw for soccer teams being rigged? How could syndicates win millions of lottery dollars by buying a multitude of tickets at the right time? What’s the best way to manage your betting bankroll in a game in which you have an edge? How to use probability to debunk quacks and psychic mediums? How can the Monte Carlo simulation be used to solve a wide variety of probability problems? Are seven riffle shuffles of a standard deck of 52 playing cards enough for randomness?

  • Provides seventeen engaging stories that illustrate ideas in probability.
  • Written so as to be suitable for those with minimal mathematical background.
  • Stories can be read independently.
  • Can be used as examples and exercises for teaching introductory probability.

These questions and many more are addressed in seventeen short chapters that can be read independently. The engaging stories are instructive and demonstrate valuable probabilistic ideas. They offer students material that they most likely don’t learn in class, and offer teachers a new way of teaching their subject.

Henk Tijms is a Dutch Emeritus Professor of Applied Mathematics. He taught applied probability and stochastic optimization for more than 30 years, and has written several widely used textbooks on these subjects, including the 2017 text “Probability: A Lively Introduction”.

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