Abstract:
Five case studies are analysed
in depth and other
investigations
are carried out
in
order to answer questions concerned with:
the nature of the distributions
which are output
from
risk evaluation models.
the important features of. the distributions
which
are
input to risk evaluation models.
the accuracy with which
different
methods
for
assessing subjective probability
distributions
are capable of providing the inputs to risk
evaluation models.
(iv) the way
in
which
dependencies should be dealt
with
in
risk evaluation models.
and
(v) the extent
to
which
it is
possible to distinguish
important
probability assessments
from
unimportant
probability assessments
in risk evaluation models.
