Quote:
Originally Posted by Oblarg
in our underlying model, the *teams* have fundamental variances, not the matches. The match variances can be computed from the variances of each team's O variable.
|
I view it differently: that the matches that have the fundamental variances. I view the equations as estimating the variance of the estimates of the constant O vector due to the introduction of match noise, not that the underlying O itself is a random variable.
Perhaps the truth of the matter is that there's variability in both: for example if a driver screws up or an autonomous run doesn't work quite perfectly, then I guess that's team-specific OPR variability, but if the litter gets thrown a particular random way that hinders performance or score, then that's match variability.
But I guess the bottom line is that if we're in agreement on the algorithm and the results of the equations, then it probably doesn't matter much if we think about the underlying process differently.
