  A change point detection procedure using the method of moment estimators is
proposed. The test statistics is based on a suitable $Z$-process. The
asymptotic behavior of this process is established under both the null and the
alternative hypothesis and the consistency of the test is also proved. An
estimator for the change point is proposed and its consistency is derived. Some
examples of this method applied to a parametric family of random variables are
presented.
