If a test statisticis used as an estimate for a population parameter
then in general we will not expect the value of
to equal
– the estimator may be biased for
The bias of the estimator is given by
An estimatorfor a population parameter
is an unbiased estimator for
if
An unbiased estimator is always better than a biased estimator, and an estimator is better in general if the bias is small and/or the variance is small.
For exampleis a biased estimator for
but
is an unbiased estimator for
The relationship between
and
is
so that
The bias of
is then
If we have two estimators for the mean of a population,and
with
then
and
so both
and
are unbiased estimators for
but
and
The variance ofis less than the variance of
so
is a better estimator for