  Sklar's theorem is an important tool that connects bidimensional distribution
functions with their marginals by means of a copula. When there is imprecision
about the marginals, we can model the available information by means of
p-boxes, that are pairs of ordered distribution functions. Similarly, we can
consider a set of copulas instead of a single one. We study the extension of
Sklar's theorem under these conditions, and link the obtained results to
stochastic ordering with imprecision.
