Analysis and simulation of political parties with different statistical distributions

Alejandro Suárez Buenrostro, Miguel Angel Martínez Cruz, Idalia Flores De La Mota

Research output: Contribution to conferencePaperpeer-review

Abstract

Statistical results of federal deputies' elections by political party were analyzed, observing a normal distribution for the major parties and a heavy tails distribution for the minor parties and/or with disappearing tendencies. The heavy tails distribution that particularly predominated was the log-logistic type. With the alpha shape parameter of the log-logistic distribution minor to two, we found that the small parties tend to disappear. Probabilistic simulations were realized in a model with two parties and with different distributions (normal and log-logistic) and we found that, indeed, the log-logistic distribution party with its alpha parameter minor to two tends to win a few times in an election. Therefore, this produces a loss of supporters over time.

Original languageEnglish
StatePublished - 2009
Event21st European Modeling and Simulation Symposium, EMSS 2009 - Puerto de la Cruz, Spain
Duration: 23 Sep 200925 Sep 2009

Conference

Conference21st European Modeling and Simulation Symposium, EMSS 2009
Country/TerritorySpain
CityPuerto de la Cruz
Period23/09/0925/09/09

Keywords

  • Log-logistic distribution
  • Normal distribution
  • Political party
  • Simulation

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