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Modeling Election Problem by a Stochastic Differential Equation

DOI: 10.4236/ajor.2018.86024, PP. 441-447

Keywords: Election, Stochastic Differential Equation, Ito’s Formula

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Abstract:

The proportion of the favorable among voters to a nominee might change over times and depend on different factors for example: talent, reputation, party and even name order on election. The unobservable factors which might have minor impacts on the approval rate are modelized by random elements. The approval rate is initially described by the differential equation and then by the random differential equation including the above unobservable factors. We figure out the formula of the solution for the stochastic differential equation and simulate these solutions to identify the changes of the approval rate over time.

References

[1]  Chen, E., Simonovits, G., Krosnick, J.A. and Pasek, J. (2014) The Impact of Candidate Name Order on Election Outcomes in North Dakota. Electoral Studies, 35, 115-122.
https://doi.org/10.1016/j.electstud.2014.04.018
[2]  Ksendal, B. (2003) Stochastic Differential Equations: An Introduction with Applications. Vol. XXVII, Springer, Berlin, 379 p. https://doi.org/10.1007/978-3-642-14394-6
[3]  Arnold, L. (1974) Stochastic Differential Equations: Theory and Applications. Wiley, Hoboken, New Jersey.
[4]  Malliaris, A.G. (1983) Ito’s Calculus in Financial Decision making. SIAM Review, 25, 481-496.
https://doi.org/10.1137/1025121

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