  Two sequential estimators are proposed for the odds p/(1-p) and log odds
log(p/(1-p)) respectively, using independent Bernoulli random variables with
parameter p as inputs. The estimators are unbiased, and guarantee that the
variance of the estimation error divided by the true value of the odds, or the
variance of the estimation error of the log odds, are less than a target value
for any p in (0,1). The estimators are close to optimal in the sense of
Wolfowitz's bound.
