Utvidet returrett til 31. januar 2025

The Doctrine of Chances

- Probabilistic Aspects of Gambling

Om The Doctrine of Chances

Three centuries ago Montmort and De Moivre published two of the first books on probability theory, then called the doctrine of chances, emphasizing its most important application at that time, games of chance. This volume, on the probabilistic aspects of gambling, is a modern version of those classics. While covering the classical material such as house advantage and gambler's ruin, it also takes up such 20 th -century topics as martingales, Markov chains, game theory, bold play, and optimal proportional play. In addition there is extensive coverage of specific casino games such as roulette, craps, video poker, baccarat, and twenty-one. The volume addresses researchers and graduate students in probability theory, stochastic processes, game theory, operations research, statistics but it is also accessible to undergraduate students, who have had a course in probability.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783662501672
  • Bindende:
  • Paperback
  • Sider:
  • 816
  • Utgitt:
  • 23. august 2016
  • Utgave:
  • 12010
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 1252 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av The Doctrine of Chances

Three centuries ago Montmort and De Moivre published two of the first books on probability theory, then called the doctrine of chances, emphasizing its most important application at that time, games of chance. This volume, on the probabilistic aspects of gambling, is a modern version of those classics. While covering the classical material such as house advantage and gambler's ruin, it also takes up such 20
th
-century topics as martingales, Markov chains, game theory, bold play, and optimal proportional play. In addition there is extensive coverage of specific casino games such as roulette, craps, video poker, baccarat, and twenty-one.

The volume addresses researchers and graduate students in probability theory, stochastic processes, game theory, operations research, statistics but it is also accessible to undergraduate students, who have had a course in probability.

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