Support independent statistics do not depend on the values of elements
in the support of the distribution that is sampled from. Examples
include entropy and support size, while examples of statistics that
are not support independent include the mean of the distribution.
There are a wide range of problems from caching to chip testing that
involve estimating the support independent statistics of a set which
can be tackled by the distribution modeling techniques described in
Section 1.2.
