Ten Great Ideas about Chance

Regular price €19.99
A01=Brian Skyrms
A01=Frederick Brian Skyrms
A01=Persi Diaconis
Accuracy and precision
Age Group_Uncategorized
Age Group_Uncategorized
Algorithmic probability
Almost surely
An Essay towards solving a Problem in the Doctrine of Chances
Author_Brian Skyrms
Author_Frederick Brian Skyrms
Author_Persi Diaconis
automatic-update
Axiom
Bayes' theorem
Bayesian
Bayesian probability
Bayesian statistics
Big O notation
Birthday problem
Bruno de Finetti
Calculation
Cardinal utility
Category1=Non-Fiction
Category=PB
Category=PBB
Category=PBT
Category=PBX
Central limit theorem
Chi-squared test
COP=United States
De Finetti's theorem
Delivery_Delivery within 10-20 working days
Dutch Book Theorem
eq_isMigrated=2
eq_nobargain
Equiprobability
Ergodic process
Ergodic theory
Ergodicity
Event (probability theory)
Expected utility hypothesis
Expected value
Fair coin
Fair division
Frequentist probability
Greedy algorithm
H-theorem
Heuristic
Ideal gas
Ideal gas law
Idealization
Inference
Infimum and supremum
Language_English
Law of large numbers
Law of total probability
Logarithm
Magic square
Martingale (probability theory)
Monte Carlo method
Mutual exclusivity
Natural number
New riddle of induction
Objective Probability
P-value
PA=Available
Price_€10 to €20
Prime number
Prior probability
Probability
Probability and statistics
Probability interpretations
Probability measure
Probability space
Probability theory
PS=Active
Pure mathematics
Quantum probability
Random number generation
Random sequence
Random variable
Real gas
Real number
Scientific notation
Significant figures
softlaunch
Statistical physics
Statistical Science
Statistical significance
Turing machine
Utilitarianism
With high probability

Product details

  • ISBN 9780691196398
  • Dimensions: 133 x 203mm
  • Publication Date: 08 Oct 2019
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days: On Backorder

Will Deliver When Available: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

A fascinating account of the breakthrough ideas that transformed probability and statistics

In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them. Complete with a brief probability refresher, Ten Great Ideas about Chance is certain to be a hit with anyone who wants to understand the secrets of probability and how they were discovered.

Persi Diaconis is the Mary V. Sunseri Professor of Statistics and Mathematics at Stanford University and the coauthor of Magical Mathematics: The Mathematical Ideas That Animate Great Magic Tricks (Princeton). Brian Skyrms is Distinguished Professor in the Department of Logic and Philosophy at the University of California, Irvine, and Professor of Philosophy at Stanford University. His books include Signals: Evolution, Learning, and Information.