[EMAIL PROTECTED] (Wei Dai) writes:
To handle the case when it's not good enough to assume that p(x) is flat
in the range -.02n to .02n, for example when one candidate has a
clear lead, we can instead assume that p(x) has a normal distribution, and
find the normal distribution that best fits the
On Tue, Oct 19, 2004 at 11:32:16AM -0700, Peter C. McCluskey wrote:
I think it's harder than this to adequately model p(x), because it acts
differently in close races because the incentive for the losing side to
cheat is highest when it's most likely to change the result.
Yes, to be more
