Abstract
Touch football is one of the most extensively played sports in Australasia. In Australia touch is played by over a quarter of a million registered touch players, half a million school children and numerous casual players. Whilst New Zealand has less touch players than Australia, it is still the largest participation sport within this country with over 230,000 New Zealanders playing the game. Previous work has been published in 2010 on the potential for modelling touch football as a Markov Chain and the expansion of this model to many sports sharing similar structures. Applications of such a model for practical use were discussed. State sequences within the model were developed for use within a purpose built Fortran program. Selection was made of model parameters as well as identification of expected model outcomes. Appropriate parameters during model development allowed model fitting, using comparisons of differing outputs (generated by altering random seed values) in conjunction with expected model outcomes. On model testing many parameters produced data as expected however displacement parameters produced statistically different results from expected values identifying areas for future work. Parameter developments cultivated an enhanced framework for modelling the sport of touch football as a series of Markov States.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Conference on Mathematics in Sport |
| Editors | D Percy, J Reade, P Scarf |
| Place of Publication | England |
| Publisher | Institute of Mathematics and Its Applications |
| Pages | 229-234 |
| Number of pages | 6 |
| Publication status | Published - 2011 |
| Event | International Conference on Mathematics in Sport (2011 3rd) - England, United Kingdom Duration: 22 Jun 2011 → 24 Jun 2011 Conference number: 2011 (3rd) |
Conference
| Conference | International Conference on Mathematics in Sport (2011 3rd) |
|---|---|
| Country | United Kingdom |
| Period | 22/06/11 → 24/06/11 |
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Parameter Selection in Sport Modelling : Touch Football. / Walsh, Joe; Heazlewood, Ian.
Proceedings of the 3rd International Conference on Mathematics in Sport. ed. / D Percy; J Reade; P Scarf. England : Institute of Mathematics and Its Applications, 2011. p. 229-234.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › Research › peer-review
TY - GEN
T1 - Parameter Selection in Sport Modelling
T2 - Touch Football
AU - Walsh, Joe
AU - Heazlewood, Ian
PY - 2011
Y1 - 2011
N2 - Touch football is one of the most extensively played sports in Australasia. In Australia touch is played by over a quarter of a million registered touch players, half a million school children and numerous casual players. Whilst New Zealand has less touch players than Australia, it is still the largest participation sport within this country with over 230,000 New Zealanders playing the game. Previous work has been published in 2010 on the potential for modelling touch football as a Markov Chain and the expansion of this model to many sports sharing similar structures. Applications of such a model for practical use were discussed. State sequences within the model were developed for use within a purpose built Fortran program. Selection was made of model parameters as well as identification of expected model outcomes. Appropriate parameters during model development allowed model fitting, using comparisons of differing outputs (generated by altering random seed values) in conjunction with expected model outcomes. On model testing many parameters produced data as expected however displacement parameters produced statistically different results from expected values identifying areas for future work. Parameter developments cultivated an enhanced framework for modelling the sport of touch football as a series of Markov States.
AB - Touch football is one of the most extensively played sports in Australasia. In Australia touch is played by over a quarter of a million registered touch players, half a million school children and numerous casual players. Whilst New Zealand has less touch players than Australia, it is still the largest participation sport within this country with over 230,000 New Zealanders playing the game. Previous work has been published in 2010 on the potential for modelling touch football as a Markov Chain and the expansion of this model to many sports sharing similar structures. Applications of such a model for practical use were discussed. State sequences within the model were developed for use within a purpose built Fortran program. Selection was made of model parameters as well as identification of expected model outcomes. Appropriate parameters during model development allowed model fitting, using comparisons of differing outputs (generated by altering random seed values) in conjunction with expected model outcomes. On model testing many parameters produced data as expected however displacement parameters produced statistically different results from expected values identifying areas for future work. Parameter developments cultivated an enhanced framework for modelling the sport of touch football as a series of Markov States.
UR - https://ima.org.uk/1239/3rd-ima-international-conference-mathematics-sport/
M3 - Conference Paper published in Proceedings
SP - 229
EP - 234
BT - Proceedings of the 3rd International Conference on Mathematics in Sport
A2 - Percy, D
A2 - Reade, J
A2 - Scarf, P
PB - Institute of Mathematics and Its Applications
CY - England
ER -