Table A2.

Parameters of the logistic model for the US Triple Crown races

RacemxLow 95%High 95%mnktabc
Kentucky Derby16.49816.38716.60914.9250.0561913.13–0.4503–0.07250.2906
Preakness Stakes16.64416.57516.71315.9130.1211954.51–0.3288–0.05200.1637
Belmont Stakes16.28116.23016.3333.1450.0531862.24–0.2421–0.05860.1640
  • The 95% confidence limits are given for mx, the estimated maximum of the logistic model. Values for mn (minimum fastest speed), k (shape parameter) and t (location parameter) of the logistic model are best-fit estimates. Values shown for a, b and c of the GEV (Eqn 1) are best-fit estimates. All values for a are significantly less than 0 (P<0.05)