Finding point estimators

We have seen that it is perfectly possible for there to be more than
one potential estimator for the same parameter. The previous section
provides us evaluation criteria of selecting a better or optimal estima-
tors among many. In this section, we focus on different methods of
constructing an estimator for a given parameter. We will introduce
the simplest method: the method of moments, the most popular
method (historically): method of maximum likelihood, and the
increasingly popular methods of Bayesian estimation