This class allows users to provide a statistical characterisation of a collection of objects in a specified SimDM/OutputDataset. It represents both 'a priori' and 'a posteriori' characterisations. With a priori characterisation we indicate possible and/or nominal [?] values the variable may take, it defines the possible range of values of the SimDM/Property. In contrast, an a posteriori characterisation of a property in an collection provides summarising, likely statistical, information on the values that were actually measured (i.e. observed, simulated) by the objects in the collection.
The a priori characterisation is most similar, in fact a generalisation of the Characterisation model of the IVOA Data Model working group. 
 
In the current model we stick to simple (numerical) quantities for characterising a collection of objects. For example the equivalent value of a support from the CharacterisationDM is absent, as it is not terribly useful for discovery and querying, even more so of course for concepts equivalent to sensitivity. 