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文章基本信息

  • 标题:Modeling Election Problem by a Stochastic Differential Equation
  • 本地全文:下载
  • 作者:Nguyen Thanh Trung
  • 期刊名称:American Journal of Operations Research
  • 印刷版ISSN:2160-8830
  • 电子版ISSN:2160-8849
  • 出版年度:2018
  • 卷号:8
  • 期号:6
  • 页码:441-447
  • DOI:10.4236/ajor.2018.86024
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要: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.
  • 关键词:ElectionStochastic Differential EquationIto’s Formula
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