References
- ApSimon , H. G. (1957). Squash chances. The Mathematical Gazette, 41, 136-137.
- Carter, W. H. and Crews, S. L. (1974). An analysis of the game of tennis. The American Statistician, 28(4), 130-134.
- Barnett, T. Brown A. and Pollard G. H. (2006). Reducing the likelihood of long tennis matches. Journal of Sports Science and Medicine, 5 (4), 567-574.
- Barnett, T. (2016). A recursive approach to modelling the amount of time played in a tennis match. Journal of Medicine and Science in Tennis, 21(2), 27-35.
- Clarke, S. and Norman, J. (1979), Comparison of North American and international squash scoring systems-analytical results, Research Quarterly for Exercise and Sport, 50 (4), 723-728.
- Cross, R. and Pollard, G. H. (2011). Grand Slam men’s singles tennis 1995-2009, Part 2: Points, games and sets. ITF Sports Coaching and Sports Science Review, 53 (19), 3-6.
- Fischer, G. (1980), Exercise in probability and statistics, or the probability of winning at tennis. American Journal of Physics, 48 (1), 14-19.
- Morris, C. (1977). The most important points in tennis. In Optimal Strategies in Sports, eds. S. P. Ladany and R. E. Machol, 131-140. Amsterdam: North-Holland. (Vol. 5 in Studied in Management Science and Systems).
- Miles R. E. (1984). Symmetric sequential analysis: the efficiencies of sports scoring systems (with particular reference to those of tennis). J. R. Statist. Soc. B, 46, 93-108.
- Pollard, G. H. (1983). An analysis of classical and tiebreaker tennis. Austral. J. Statist., 25 (3), 496-505.
- Pollard. G. H. (1986). A stochastic analysis of scoring systems. PhD thesis, Australian National University, Canberra, Australia, pp 1-179.
- Pollard. G. H. (1992). The optimal test for selecting the greater of two binomial probabilities. Austral. J. Statist. 34 (2), 1992, 273-284.
- Pollard. G. H. (2002). The effect of a variation to the assumption that the probability of winning a point in tennis is constant. Proceedings of the sixth Australian conference on mathematics and computers in sport, 227-230, July 2002. Massey University, New Zealand, edited by R. Hugh Morton and S. Ganesalingam, 262-265.
- Pollard. G. H. (2017a). Measuring excitement in sport. Journal of Sports Analytics, 3, 37-43.
- Pollard. G. H. (2017b). The relationship of excitement, importance and entropy to the efficiency of statistical hypothesis testing. Journal of Sports Analytics, 3, 45-54.
- Pollard G. H. and Noble, K. (2003). Scoring to remove long matches, increase tournament fairness and reduce injuries. Journal of Medicine and Science in Tennis, 8 (3), 12-13, 245.
- Pollard. G. H. and Noble, K. (2004). The benefits of a new game scoring system in tennis, the 50-40 game. Proceedings of the Seventh Australasian conference on mathematics and computers in sport, Massey University, New Zealand, edited by R. Hugh Morton and S. Ganesalingam, 257-261.
- Pollard. G. H., Pollard G. N., Lisle, I. and R. Cross. (2010). Bias in Sporting Match Statistics. Proceedings of the Tenth Australasian conference on mathematics and computing in sport, Darwin, edited by A, Bedford and M. Ovens. Mathsport (ANZIAM), 221-228, July, 2010.
- Schutz, R. W. (1970), A mathematical model for evaluating scoring systems with specific reference to tennis. Research Quarterly for Exercise and Sport, 41, 552-561.
- Schutz R. W. and Kinsey, W. (1977), Comparison of North American and international squash scoring systems - a computer simulation. Research Quarterly for Exercise and Sport, 48, 248-251.