Choosing a golf team from a group of eligible candidates is posed as a stochastic optimisation model. We apply portfolio theory in a quest to maximize the team's result relative to its capabilities and the competition. A trade-off exists between reward and risk as measured by the probability of achieving a designated goal. We see that quantitative tools can be combined with expert judgment of the coaching staff in order to arrive at an "optimal" solution. The techniques are applied to the Princeton University golf team.
|Title of host publication
|Science and Golf IV
|Subtitle of host publication
|Proceedings of the WorId Scientific Congress of Golf
|Taylor and Francis Inc.
|Number of pages
|Published - Nov 12 2012
All Science Journal Classification (ASJC) codes
- General Medicine
- Decision making under uncertainty
- Team selection