There are several methods for drawing a sample, different goals, and different situations that require different sampling
designs. The most basic sampling procedures are simple random sampling with and without replacement. In this paper we
show that there are several ways to select units with replacement with an equal inclusion expectation. A new method is
proposed where the repetition of the units in the sample is more important than with usual simple random sampling with
replacement. This sampling design called simple random sampling with over-replacement provides a larger variance. This
property could be interesting for resampling methods. We show how to implement this design and we compare it to
simple random sampling with and without replacement