  The functional empirical process is a very powerful tool for deriving
asymptotic laws for almost any kind of statistics whenever we know how to
express them into functions of the sample. Since this method seems to be
applied more and more in the very recent future, this paper is intended to
provide a complete but short description and justification of the method and to
illustrate it with a non-trivial example using bivariate data. It may also
serve for citation without repeating the arguments.
