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An index for betting with examples from games and sports

Published online by Cambridge University Press:  24 February 2022

Talaat Abdin
Affiliation:
formerly with Schlumberger, Cairo, Egypt
Hosam Mahmoud
Affiliation:
Department of Statistics, The George Washington University, Washington, D.C.20052, USA e-mail: hosam@gwu.edu
Arian Modarres
Affiliation:
Department of Statistics, Columbia University, New York, NY10027, USA e-mail: arm2261@columbia.edu
Kai Wang
Affiliation:
Department of Statistics, The George Washington University, Washington, D.C.20052, USA e-mail: kwang23@gwu.edu

Extract

It is tempting to accept bets when the outcome has a positive expectation favouring the bettor. We examine situations where this is not enough of a criterion as a basis for betting. The argument we present shows that the probability of winning the bets in the long run has to be qualified in a certain way beyond positive expectation. We introduce an alternative index as a criterion to recommend to bettors.

Type
Articles
Copyright
© The Authors, 2022. Published by Cambridge University Press on behalf of The Mathematical Association

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References

Kelly, J., A new interpretation of information rate. Bell System Technical Journal 35 (1956) pp. 917926.10.1002/j.1538-7305.1956.tb03809.xCrossRefGoogle Scholar
Ross, K., Editor’s note on Problem 782. College Mathematics Journal 37 (2006) pp. 149151.Google Scholar
Billingsley, P., Probability and Measure (3rd edn.) Wiley (1995).Google Scholar
Abdin, T. and Mahmoud, H., Losing a betting game, Problem 782 in College Mathematics Journal 36 (2005) p. 334.Google Scholar