In our first example we obtain the adjustment of the belief structure
by belief structure 
. Here is the [B/D] command which determines the adjustment
(remember that the quantities 
and 
in the command are
bases which we have already defined
):
BD>adjust:[B/D] 
No output resulted when you typed this command (unless you made a mistake, in which case you may re-enter the command). This is because [B/D] only reports results that we explicitly request, and whilst we could have requested various results beforehand (but didn't), we will find it more convenient here to use the SHOW: command as in the following sections.
The ADJUST: command is of key importance within the
program, and there are a great many program switches which can influence
what happens precisely when you issue such a command. For our purposes,
the default configuration is
suitable.
The variance and covariance specifications made in section 3.2
are coherent in that the variance-covariance matrix for the vector
is non-negative definite. Such
non-negative definiteness is a requirement for our approach (that is, we
disallow the possibility of negative variances). The ADJUST:
command automatically checks that your various inputs are coherent, and
advises you when they are not, by reporting the error and halting the
adjustment.
Many of the effects of an ADJUST: command can be viewed by supplying various options to the SHOW: command. An option in [B/D] is used to specify the type and amount of output that we see. For many options, greater detail can be had by changing the pertinent output option slightly. In fact we add a `+' symbol to the option. To help you, we will show the names of options in a different typeface like this . Initially we look at three of the most basic types of output: adjusted expectations and evaluations of them, and adjusted variances.