[EM] Weighted Bias-Free

[Michael Ossipoff]

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