In Mathematical Statistics,
estimation of parameters which index the probability density functions of random
variables is an interesting area. The object of estimation is to look for estimators
which have ‘desirable’ properties. It turns out that the lower bounds on the variances
of estimators can be used to derive some inequalities. This is illustrated here in
connection with Wallis’ formula.