A two-stage simulation to predict medalists in pistol shooting

R Shepherd; Anthony Bedford; A Schembri

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A two-stage simulation to predict medalists in pistol shooting

Conference paper

Peer reviewed

A two-stage simulation to predict medalists in pistol shooting

R Shepherd, Anthony Bedford and A Schembri

Proceedings of the 10th Australasian Conference on Mathematics and Computers in Sport, pp.213-220

Australasian Conference on Mathematics and Computers in Sport (10 M&CS), 10th (Darwin, Australia, 05-Jul-2010–07-Jul-2010)

MathSport (ANZIAM)

2010

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Abstract

modeling

simulation

shooting

prediction

The International Sports Shooting Federation (ISSF) World Cup Series for air pistol consists of four events each year. Each event comprises two stages: four qualifying rounds and a final round for the top eight competitors. This paper considers best predicting the outcome of both qualifying and final rounds throughout the event, as well as how this information can be utilised to develop a guide for shooters wanting to improve their standing during competition. Due to the differing scoring methods used during an event a two staged approach was required and a variety of methods and models examined to best evaluate this, including multiple and logistic regression, discriminant analysis and simulation. The 2005-2008 World Cup Series results in the Women’s 10m Air Pistol were used with a simulation derived from distribution and probabilities determined to be the most appropriate and accurate method of prediction. This was confirmed in practice using data from a single World Cup competition held in 2009.

Details

Title: A two-stage simulation to predict medalists in pistol shooting
Authors: R Shepherd (Author) - RMIT University
Anthony Bedford (Author) - RMIT University
A Schembri (Author) - RMIT University
Publication details: Proceedings of the 10th Australasian Conference on Mathematics and Computers in Sport, pp.213-220
Conference details: Australasian Conference on Mathematics and Computers in Sport (10 M&CS), 10th (Darwin, Australia, 05-Jul-2010–07-Jul-2010)
Publisher: MathSport (ANZIAM)
Date published: 2010
ISSN: 1303-2968
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99513862602621
Output Type: Conference paper

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