  Majorisation, also called rearrangement inequalities, yields a type of
stochastic ordering in which two or more distributions can be compared. In this
paper we argue that majorisation is a good candidate as a theory for
uncertainty. We present operations that can be applied to study uncertainty in
a range of settings and demonstrate our approach to assessing uncertainty with
examples from well known distributions and from applications of climate
projections and energy systems.
