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An approach to resolving two paradoxes in probability theory

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Abstract

A new mathematical expectation formula with some hypotheses, notions and propositions was given to get rid of the challenge of St. Petersburg paradox and Pascal’s wager. Relevant results show that it is very effective to apply the model to solve the expected revenue problems containing random events with low probability but high revenue. This work also provides the probability theory with a more widely applied perspective in group decision-making.

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References

  1. Durand D. Growth stocks and the Petersburg Paradox [J]. The Journal of Finance, 2001, 65(12): 348–363.

    Google Scholar 

  2. Székely G J, Richards D St P. Remain steadfast with the St. Petersburg paradox to quantify irrational exuberance [J]. The American Statistician, 2005, 59(3): 235–239.

    Article  MathSciNet  Google Scholar 

  3. Székely G J, Richards D St P. The St. Petersburg paradox and the crash of high-tech stocks in 2000 [J]. The American Statistician, 2004, 58(3): 225–231.

    Article  MathSciNet  Google Scholar 

  4. Blavatskyy P R. Back to the St. Petersburg paradox? [J]. Management Science, 2005, 51(4): 677–684.

    Article  Google Scholar 

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Correspondence to Dao-jian Liu  (刘道建).

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Foundation item: the Scientific Research Foundation of Hunan Education Department (No. 05C185)

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Liu, Dj., Huang, Tm. & Chen, Yb. An approach to resolving two paradoxes in probability theory. J. Shanghai Jiaotong Univ. (Sci.) 13, 362–365 (2008). https://doi.org/10.1007/s12204-008-0362-7

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  • DOI: https://doi.org/10.1007/s12204-008-0362-7

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