Weighted Bias-Free allows for a nonuniform state-size probability density distribution.
Its formula is based on an assumed distribution function of the form: B/(q+A). A & B would have to be determined by measuring the aveage density of states in a number of regions of the population range, and then using least-squares to fit B/(q+A) to those densities. When A and B havew been chosen, the Rounding point of Weighted Bias-Free (BFW) is: ((b/(b+A))^b/(a/(a+A))^a)*((a+A)/(b+A))^A This problem had many opportuniies for error, and I'm not so arrogant as to claim that I couldn't make an error. Butthe formula has the look of being right. It isn't possible to test the reasonableness of its rounding points till A has been chosen. B doesn't affect the rounding point, but is part of making the curve-fit. Mke Ossipoff ---- election-methods mailing list - see http://electorama.com/em for list info
