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Statistical method for adjusting medal tallies for Olympic games

Study level

Honours

Vacation research experience scheme

Faculty/Lead unit

Science and Engineering Faculty

School of Mathematical Sciences

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Chris Drovandi
Position
Associate Professor
Division / Faculty
Science and Engineering Faculty

Overview

There is often a lot of interest in the general community for viewing adjusting medal tallies to account for say population size, country wealth and number of athletes. However, most news articles use very basic approaches and don't consider potentially non-linear relationships between medal tallies and other variables. This project will develop a principled statistical method for performing the adjustment that more accurately model's dependencies in the data.

Research activities

  • Scraping data off the internet for recent Commonwealth and Olympic games
  • Develop statistical model that accurately captures relationship between medal counts and the other key variables
  • Write up results

Outcomes

  • A statistical model that accurately captures relationship between medal counts and the other key variables.
  • This project can lead into an honours degree. If so, it might be possible to publish the results in a journal or news outlet.

Skills and experience

Statistical modelling, regression analysis and statistical inference (desired)

Keywords

Contact

Contact the supervisor for more information.